Robotics SWE, Diagnostics

🏢 Summary: The role is for a technically strong software engineer with hands-on AI and LLM experience who actively integrates AI coding tools and agentic workflows into the full software development lifecycle. The position focuses on designing, building, and shipping production-grade systems while leveraging prompt engineering and AI automation to improve quality and speed. The engineer is expected to take ownership of production outcomes and continuously evaluate and adopt emerging AI technologies. 🗂️ Requirements: Solid experience in backend, frontend, or full-stack development, Proficiency in at least one modern programming language and framework, Experience working with APIs, distributed systems, and integrations, Strong knowledge of testing practices and software design principles, Hands-on experience using AI coding tools in real development projects, Practical understanding of LLM behavior, limitations, and trade-offs, Experience with prompt engineering for reliable AI output, Familiarity with AI agents and workflow automation, Understanding of LLM constraints such as context windows, token costs, and latency 📃 Skills: AI, LLM, Prompting, Agents, APIs, DistributedSystems, Testing, Automation, Backend, Frontend, FullStack 🏢 Description: At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.ABOUT NICE NiCE is a global leader in cloud platforms for customer experience and contact center technology, serving over 25,000 organizations worldwide. We help businesses deliver smarter, faster, and more human interactions — at scale. Our engineering teams are at the center of that mission, building the products and platforms that transform how companies engage with their customers. THE ROLE We're looking for a technically strong engineer who is genuinely excited about AI — not because it's a trend, but because they've already been using it to do better work and they want to go further. This person doesn't wait for training programs or permission to level up. They experiment on their own, stay ahead of what's available, and bring what they learn back to the team. You have real engineering depth — you know how to design systems, write code that holds up in production, and solve hard problems. You also have real AI experience: you've worked with LLMs and AI tools in ways that go beyond surface-level prompting. You understand the trade-offs, you've seen where these tools break down, and you've figured out how to get the most out of them anyway. What sets you apart is the hunger. You're the kind of engineer who reads the release notes, follows what's shipping in the AI space, and finds ways to apply it before anyone asks you to. You want to be at the front of where this is going — and you're willing to put in the work to get there. WHAT YOU'LL DO Design, build, test, and ship software across the full development lifecycle Use AI coding tools and Agentic AI Workflows actively in your day-to-day work — for code generation, review, testing, debugging, and documentation Write clean, well-structured, Code and/or specification docs, leveraging AI as a partner, and also take responsibility for its quality in production. Take responsibility for its quality in production Collaborate with product managers, designers, and other engineers to understand requirements and deliver working solutions Apply prompt engineering and Agentic coding techniques to accelerate your work and improve output consistency Participate in code reviews, technical discussions, and team planning Evaluate and adopt new AI tools and approaches as the landscape evolves Contribute to shared engineering standards and help raise the bar for how the team uses AI WHAT WE'RE LOOKING FOR Engineering Fundamentals Solid experience in backend, frontend, or full-stack software development Proficiency in one or more modern programming languages and frameworks Comfortable working with APIs, distributed systems, and software integrations Strong understanding of testing practices, code quality, and software design principles AI & LLM Experience Hands-on experience using AI coding tools in real development work — not just exploration or hobby projects Practical knowledge of how LLMs work, where they're effective, and where they fall short Experience with prompt engineering — writing, iterating, and evaluating prompts for reliable output Familiarity with agents, tool use, or AI-assisted workflow automation Working understanding of LLM constraints: context windows, token costs, latency, and output variability Communication & Collaboration Communicates clearly in both technical and non-technical conversations Writes documentation, specs, and code comments that others can actually use Works well in cross-functional teams and gives constructive code review feedback Takes ownership end-to-end — not just the assigned task, but the outcome NICE TO HAVE Experience in CX, contact center, or enterprise SaaS environments Familiarity with CCaaS platforms, voice/chat AI, or customer-facing AI products Exposure to building or tuning agentic systems or multi-step AI pipelines Experience contributing to shared tooling, internal platforms, or developer experience improvements WHAT TO EXPECT AT NICE A team that treats AI fluency as a professional standard — you won't be the only one who takes this seriously Access to modern AI tools, frameworks, and the space to experiment and improve how you work Real ownership — you'll be trusted to make decisions and see your work through to production A culture of continuous improvement, where how we build is as important as what we build Clear paths to grow into specialized engineering roles as your skills and interests develop READY TO APPLY? If you're a strong engineer who uses AI as a genuine part of how you work — not as a buzzword — we'd like to hear from you. We care more about what you've built and how you think than where you went to school or what your title was. NiCE is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees.About NiCE NICELtd. (NASDAQ: NICE)software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences,fight financial crimeand ensure public safety.Every day, NiCE software managesmore than120 million customer interactions and monitors3+billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

🏢 Summary: Software Engineer III role focused on building and scaling a cloud-based data platform for fleet-scale humanoid robotics, enabling ingestion, synchronization, and processing of multimodal robot data for analytics and ML training. The position involves developing distributed data pipelines, edge ingestion agents, and observability systems to support high-volume sensor, video, and telemetry data. This role emphasizes big data technologies, cloud infrastructure, and real-time data processing for robotics applications. 🗂️ Requirements: 3-5 years experience building and scaling cloud-based data platforms, Experience with AWS, GCP, or Azure, Proficiency in big data frameworks such as Spark, Kafka, Beam, or Flink, Familiarity with data formats like Parquet, Arrow, Iceberg, Avro, Protobuf, Experience with observability tools and implementing metrics, tracing, logging systems, Strong proficiency in Python, Proficiency in Java or Scala, Experience with microservices architecture, Experience handling unstructured and structured data integration 📃 Skills: Python, Java, Scala, Spark, Kafka, Beam, Flink, AWS, GCP, Azure, Parquet, Arrow, Iceberg, Avro, Protobuf, OpenTelemetry, Prometheus, MCAP, ROS, Kubernetes, C++, Rust, S3, Athena, Sagemaker, Fluentbit 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.About The Role Join the team building the data backbone for fleet-scale humanoid robotics. As a Software Engineer III on our Data Platform team, you will implement and scale the infrastructure required to ingest, process, and synchronize massive datasets from our robots. You will focus on the technical challenges of handling multimodal log data—ensuring that high-frequency sensor data, video feeds, and telemetry are perfectly aligned for playback and ML training. Key Responsibilities Data Ingestion: Design and implement scalable data pipelines for ingesting and processing telemetry, logs and sensor data from our fleet of robots and associated cloud software Multimodal Data Integration: Develop systems to handle complex multimodal logs, ensuring precise synchronization between video, audio, IMU, and joint-state data for downstream analysis and robot "black box" reconstruction/playback. Edge Data Agents: Contribute to the development of data ingestion agents running on-robot to manage high-volume data throughput in variable connectivity environments. Data Optimization: Implement and optimize data formats (e.g., MCAP, Parquet) specifically tuned for the storage and rapid querying of rich multimodal robotics recordings. Observability systems: Develop and maintain observability systems using tools like fluentbit, OpenTelemetry etc enabling real-time monitoring and analytics of fleet operations. Distributed Processing: Use Spark, Kafka, or Flink to transform raw robot data into structured datasets ready for business intelligence and long-horizon fleet analytics. Stakeholder Collaboration: Work closely with AI and Hardware teams to ensure data tools meet the needs of those training the next generation of humanoid models. Cloud Platform: Build and optimize tools for internal stakeholders for business intelligence and long-horizon fleet analytics and forecasting using existing tools like AWS S3, Athena, Sagemaker etc. Required Qualifications 3-5 years of experience building and scaling cloud-based data platforms(AWS, GCP, or Azure). Big Data Tech: Proficient in big data frameworks like Spark, Kafka, Beam, Flink etc Data Formats: Familiarity with OSS data formats like Parquet, Arrow, Iceberg and protocols like Avro and Protobuf. Experience with observability tools(e.g. OpenTelemetry, Prometheus etc) and implementing metrics, tracing and logging systems Strong proficiency in Python and at least one JVM language (Java or Scala), with experience in microservices. Proven experience handling diverse data types—specifically combining unstructured data (logs/video) with structured telemetry Bonus Qualifications Robotics/AV Background: Experience with robot-specific data formats (MCAP, ROS bags) and visualization tools like Foxglove or RVIZ. Sensor Fusion: Understanding of time-sync challenges in multimodal data (e.g., PTP/NTP synchronization across sensors). Infrastructure: Experience with Kubernetes and containerized deployment patterns. Systems Programming: Familiarity with C++ or Rust for high-performance data handling at the edge. IoT Knowledge: Experience with edge computing, Greengrass, or managing data from embedded devices. This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.Anticipated Salary Range$144,000—$224,000 USDIn addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: https://grnh.se/b444bbd04us

🏢 Summary: Lead enterprise and commercial healthcare technology implementations, managing a team responsible for successful deployments, pilot conversions, and customer outcomes. The role focuses on implementation strategy, stakeholder collaboration, technical integrations, and scalable execution within a fast-growing AI healthcare environment. 🗂️ Requirements: 7+ years of project execution or software implementation experience, 2+ years of people management and team leadership experience, Experience leading healthcare technology implementation projects, Ability to deploy scalable implementation strategies and systems, Strong technical aptitude for integrations and technical implementations, Excellent communication and stakeholder management skills, Ability to manage multiple priorities with strong organizational skills, Experience analyzing pilot performance and operational data 📃 Skills: AI, EMR, Epic, CRM, EHR, SaaS 🏢 Description: About Abridge Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. The Role As a Director of Implementation, Enterprise and Commercial at Abridge, you will play a vital role in leading a team of implementers to ensure the satisfaction, implementation quality, and conversion of pilots within our customers in your team’s segment(s). You will be a core member of the commercial team and work closely with cross functional teams to enable your team to effectively serve our enterprise partners and drive product implementations and impactful outcomes. What You'll Do - Drive strong team performance against core KPIs including Implementation NPS, successful pilot conversions, and user activation to contribute to organization engagement goals. - Own high-impact or strategic implementations within your segment, modeling best-in-class execution practices and setting the standard for the team. - Proactively identify and manage risks across your team’s implementation portfolio through coaching or direct intervention to drive resolution. - Own hiring, onboarding, performance management, and ongoing development for implementers within your team. - Collaborate closely with the Area Director, Implementation to translate the Implementation strategy and priorities into a segment specific execution model that caters to your partner segment. - Serve as a culture leader for your team, ensuring every team member feels a sense of community, is set up to succeed, and reflects the values and standards that define how we work at Abridge. - Build strong relationships and work collaboratively with Commercial organization segment leaders across Sales, Partner Success, and Clinical Success to drive alignment on goals, execution, and operations. What You'll Bring - Track record of driving successful healthcare technology implementation projects from initiation to completion. - 7+ years of work in driving project execution or software implementations. - 2+ years of experience in people management and team leadership. - Experience deploying scalable implementation strategies and systems tailored to commercial segments. - Excellent communication and interpersonal skills. - Strong technical aptitude with the ability to dive deep into integrations and technical implementations. - Strong organizational and prioritization skills. - Data-driven mindset with the ability to analyze pilot performance and partner outcomes. - Ability to identify and escalate risks with proposed solutions. Bonus Points If - Experience with pilot conversion motions for long-term customer partnerships. - Experience implementing electronic health records. - Familiarity with Epic. - Familiarity with systems requiring strict privacy and security protocols. - Familiarity with CRM, customer success, and project management software. Benefits - 14 paid holidays and flexible PTO. - Medical, Dental, and Vision coverage. - HSA contributions. - Paid parental leave. - Family forming benefits. - 401(k) matching. - Personal device allowance. - Flexible Spending Accounts and commuter benefits. - Lifestyle wallet for fitness and professional development. - Mental health support. - Paid sabbatical leave after 5 years. - Competitive compensation and equity grants. Compensation Tier 1 Salary: $169,000 – $194,040 Tier 2 Salary: $152,100 – $174,636 Offers equity.

🏢 Summary: Senior leadership role focused on supplier quality engineering and incoming quality control for humanoid robotics manufacturing. The position leads global supplier quality frameworks, incoming material compliance, and continuous improvement initiatives to support scalable, high-volume production. Candidates should have strong experience in quality systems, manufacturing operations, and technical leadership. 🗂️ Requirements: Bachelor's degree in Industrial, Systems, Mechanical, Electrical Engineering or related field, 8+ years in Quality Engineering, Global Manufacturing, or Supply Chain Operations, 3+ years in direct management or leadership role, Knowledge of ISO 9001, IATF 16949, or ISO 13485, Experience with GD&T and metrology tools, Expertise in SPC and root-cause analysis methodologies, Experience with APQP, PPAP, FMEA, and Control Plans, Ability to travel up to 15%, Authorization to work in the USA 📃 Skills: ISO9001, IATF16949, ISO13485, GD&T, SPC, APQP, PPAP, FMEA, SCAR, 8D, Fishbone, SixSigma, Metrology, ANSI, ASQ, CQE, CSQP, Lean, MRB, ECO 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, the company is pioneering a new era of automation that enhances human potential. About The Role Agility Robotics is looking for a Senior Manager, Incoming Quality Control and Supplier Quality Engineering (IQC/SQE). The Senior Manager will lead the strategic vision and daily execution of global supplier quality and incoming material control frameworks. This role is responsible for ensuring that all components, sub-assemblies, and finished goods supplied by external partners meet stringent design, reliability, and compliance standards before entering the production lifecycle. As a key leadership figure in Technical Operations, you will build and scale a high-performing team of Supplier Quality Engineers and IQC technicians, foster a collaborative culture of continuous improvement, and drive technical accountability across the global supply chain. About The Work 1. Strategic Leadership & Team Development - Recruit, mentor, and develop a world-class team of SQEs and IQC inspectors/technicians. - Define and execute the roadmap for scaling IQC and SQE operations to support new product introductions and high-volume global manufacturing. - Partner closely with Design Engineering, Supply Chain, Operations, and Compliance teams to transition products from design to mass production. 2. Supplier Quality Engineering (SQE) & Governance - Establish qualification frameworks for new suppliers. - Lead technical and quality system audits to ensure supplier capabilities align with product requirements. - Drive execution of APQP, including PPAP, FMEA, and Control Plans with global suppliers. - Develop and monitor supplier quality dashboards tracking metrics such as DPPM, SCAR response times, and yield rates. - Conduct regular business reviews with critical vendors. 3. Incoming Quality Control (IQC) & Material Compliance - Oversee the IQC laboratory, including metrology equipment, automated inspection systems, and SOP optimization. - Utilize statistical sampling plans such as ANSI/ASQ Z1.4 to optimize inspection workflows. - Lead the MRB process for non-conforming materials and engineering change order implementation. 4. Continuous Improvement & Root Cause Analysis - Own the SCAR process and ensure suppliers apply disciplined problem-solving methodologies including 8D, 5-Why, and Fishbone. - Apply Lean Six Sigma tools to reduce variability and optimize incoming quality workflows. About You - Bachelor's degree in Industrial, Systems, Mechanical, or Electrical Engineering, or related technical discipline. - 8+ years of experience in Quality Engineering, Global Manufacturing, or Supply Chain Operations. - 3+ years in a management or leadership role. - Strong knowledge of Quality Management Systems including ISO 9001, IATF 16949, or ISO 13485. - Experience with GD&T and advanced metrology tools. - Expertise in statistical analysis, SPC, and root-cause analysis. - Ability to travel domestically and internationally up to 15%. - Authorization to work in the USA. Bonus Points - Master of Science in Manufacturing Leadership, Industrial Engineering, or MBA. - Lean Six Sigma Black Belt (LSSBB), ASQ CQE, or CSQP certification. - Experience in robotics, automotive, aerospace, or advanced consumer electronics quality environments. Benefits - 401(k) plan with 6% company match. - Company stock options. - 100% company-paid medical, dental, vision, and disability insurance for employees. - Benefits effective on first day of employment. - Employee Assistance Program. - Flexible unlimited PTO for exempt employees. - Paid holidays including winter shutdown. - Catered lunches and on-site refreshments at select locations. - Paid parental leave. - Flexible work arrangements. - Professional development and tuition reimbursement. - Relocation assistance for eligible roles. - Annual discretionary bonus for eligible roles.

🏢 Summary: Machine Learning Engineer role focused on designing, building, and deploying production ML systems across Lyft Business, including pricing, fraud detection, marketplace optimization, and agentic AI applications. The position involves owning models end-to-end, developing scalable ML infrastructure, and translating business problems into impactful ML solutions. The role operates in high-scale environments influencing revenue, operations, and user experience. 🗂️ Requirements: Experience with GenAI and LLM ecosystems, Experience building and deploying production ML models, Experience with pricing, marketplace, or fraud ML problems, Experience with feature engineering and ML pipelines, Experience with cloud ML services, Ability to productionize research prototypes, Experience running experiments and evaluating ML performance, Ability to design scalable ML systems, Proficiency in writing production-quality code 📃 Skills: Python, MachineLearning, LLM, GenAI, RAG, LangChain, LangGraph, SageMaker, Bedrock, AWS, GraphNN, KnowledgeGraphs, NetworkAnalysis, APIs, Experimentation 🏢 Description: At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Machine Learning is at the heart of Lyft’s products and decision-making. Machine Learning Engineers at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges, from pricing and marketplace frameworks that ensure reliability and competitiveness, to agentic AI platforms that automate analytical workflows, to behavioral detection systems that protect the integrity of our network. We operate at the intersection of applied ML and real business impact, shipping models that directly influence revenue, rider experience, and partner trust. Lyft Business builds products that help organizations move the people who matter most—employees, customers, patients, and guests—easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs. We're looking for a Machine Learning Engineer to design, build, and deploy ML systems across Lyft Business. This is a high-scope role: you won't be siloed into one problem area. Instead, you'll move across pricing algorithms, fraud and behavior detection, agentic AI systems, and emerging ML applications as the business evolves. You'll write production-quality code, own models end-to-end from prototyping through deployment, and collaborate closely with Data Scientists, Product Managers, and Software Engineers to translate complex business problems into scalable ML solutions. This role is ideal for someone who is technically versatile, energized by variety, and wants to see their work directly shape a large-scale business. Responsibilities: Develop and deploy ML models across multiple problem domains — including dynamic pricing, marketplace optimization, fraud detection, and anomaly/behavior detection — in production environments serving millions of rides Build and iterate on agentic AI systems (e.g., LLM-powered analytical agents) that automate decision-making and reduce operational overhead Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform Partner with Data Scientists on the Algorithms and Decisions teams to take research prototypes from proof-of-concept to production at scale Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement Identify new opportunities where ML can create leverage across Lyft Business verticals (Healthcare, Lyft Pass, Business Travel) and pitch solutions Contribute to team engineering standards — code quality, observability, documentation, and testing practices Experience: Experience with GenAI / LLM ecosystems — prompt engineering, RAG, agent frameworks (e.g., LangChain, LangGraph), or fine-tuning Exposure to graph-based ML methods (graph neural networks, knowledge graphs, network analysis) Experience with pricing, marketplace, or fraud-related ML problems Familiarity with cloud ML services (AWS SageMaker, Bedrock) or internal ML platforms Track record of identifying and scoping ML projects independently, not just executing on pre-defined specs Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Monthly Lyft credits and complimentary Lyft Pink membership Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $176,000-$211,200, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

🏢 Summary: Staff Engineer role focused on designing and building advanced LLM observability features to monitor, evaluate, and debug generative AI systems in production. The position involves leading architecture decisions, prototyping and scaling new capabilities, and improving reliability and performance of LLM-based applications. You will work on scalable backend systems that enable tracing, drift detection, and evaluation of AI workloads. 🗂️ Requirements: BS/MS/PhD in Computer Science, Engineering or related field or equivalent experience, Deep understanding of distributed systems, Experience with scalable backend architectures, Hands-on experience building and shipping LLM or GenAI applications, Understanding of model internals and inference pipelines, Knowledge of LLM evaluation techniques, Experience with prompt engineering, Experience with observability tools or platforms 📃 Skills: LLM, GenerativeAI, DistributedSystems, Backend, Observability, Tracing, DriftDetection, ModelEvaluation, Inference, PromptEngineering, Scalability, Architecture 🏢 Description: The ML Observability team builds cutting-edge tools to monitor, explain, and improve AI systems in production, particularly those leveraging Large Language Models (LLMs) and generative AI. We provide robust, scalable observability for AI workloads, including drift detection and model evaluation, and behavior tracing, enabling customers to ship AI with confidence. As a Staff Engineer, you’ll lead the development of new features and foundational capabilities within Datadog’s LLM Observability product. You will shape product direction, drive experimentation, and apply your deep understanding of both AI systems and software engineering to solve open-ended problems in the fast-moving AI landscape. Your work will directly impact how our customers monitor, troubleshoot, and optimize LLM-based applications in production. Join us in building the foundational tools that make AI systems observable, understandable, and reliable in the real world. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Drive design and implementation of LLM observability features. Ideate, prototype, and scale new product features to provide insights and drive improvements for generative AI systems Work cross-functionally with other eng teams, product, UX, and applied science to iterate fast and find product-market fit Develop and extend tools for tracing, evaluating, and debugging LLMs Influence architecture decisions and mentor engineers to build resilient, high-performance systems Stay close to customer pain points and use those insights to guide product and engineering priorities Stay current with industry trends and advancements in machine learning and observability, driving innovation within the team Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience Deep understanding of distributed systems and scalable backend architectures Hands-on experience building and shipping LLM-powered or GenAI applications. Understanding of model internals, inference pipelines, evaluation techniques, and prompt engineering Ability to thrive in ambiguous, fast-changing spaces and have a product-oriented mindset You’re excited to shape the next generation of AI observability tools from the ground up Communicate clearly, think rigorously, and take pride in clean, maintainable code Experience with observability tools/platforms Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. Have a lot of influence on product direction and impact on the business . Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn Competitive global benefits Continuous professional development Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$234,000—$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Technical leadership role focused on designing, developing, and deploying object detection and tracking algorithms for humanoid robots operating in real-world logistics and manufacturing environments. The position owns the perception architecture and drives state-of-the-art machine learning models for multi-object detection, scene understanding, and 6-DoF pose estimation in production systems. It involves optimizing deep learning models for embedded hardware and collaborating cross-functionally to deliver scalable, high-quality perception software. 🗂️ Requirements: 5+ years deploying machine learning-based object detection on mobile robots, 2+ years in a technical leadership role, Experience with deep convolutional neural networks, Experience with multi-object tracking and data association, Experience with supervised learning and 6-DoF pose estimation, Strong foundation in linear algebra and numerical optimization, Knowledge of geometric concepts in computer vision, Proficiency with PyTorch, OpenCV, NumPy or similar libraries, Experience optimizing algorithms for CPU and GPU architectures, Experience with MLOps including data annotation, storage, evaluation, and deployment 📃 Skills: PyTorch, OpenCV, NumPy, CNN, Tracking, Pose, MLOps, GPU, CPU, LinearAlgebra, Optimization, Robotics, ComputerVision, MachineLearning, Embedded 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.Agility Robotics is deploying humanoid robots that are solving real-world challenges in logistics and manufacturing. Perceiving and understanding the world is critical to Digit's success in these applications. The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms. Responsibilities: As a technical lead, you will own the architecture and technical roadmap for object perception systems used by the robot in production Design, develop, and deploy machine learning algorithms for multi-object detection, scene understanding, and 6-DoF object pose estimation Evaluate and drive adoption of state-of-the-art perception models Promote best practices in architecture, design, and testing to deliver high-quality, scalable software Optimize deep neural networks and associated data processing to run efficiently on embedded systems Collaborate with navigation, manipulation and hardware teams to align perception capabilities with product requirements Requirements: 5+ years of experience deploying machine learning-based object detection algorithms on mobile robots with at least 2 years of experience in a technical leadership role Proficiency in related technical areas such as (but not limited to) deep convolutional neural networks, multi-object tracking, data association, supervised learning and pose estimation Strong mathematical fundamentals in linear algebra and numerical optimization and familiarity with core geometric concepts in computer vision Familiarity with common computer vision and machine learning libraries such as (but not limited to) PyTorch, OpenCV, NumPy, etc. Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment Publications in your field (CVPR, ICCV, RSS, ICRA preferred) Bonus Qualifications: Experience using YOLO, Faster/Mask R-CNN Experience developing ML models for 3 or 6 dof pose estimation This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.Anticipated Salary Range$207,000—$323,000 USDIn addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: https://grnh.se/b444bbd04us

🏢 Summary: Staff Machine Learning Engineer role focused on leading the design and deployment of object perception systems for humanoid robots in production environments. The position centers on developing and optimizing multi-object detection, tracking, and 6-DoF pose estimation algorithms for real-world logistics and manufacturing applications. It involves technical leadership, architecture ownership, and efficient deployment on embedded robotic platforms. 🗂️ Requirements: 5+ years deploying machine learning-based object detection algorithms on mobile robots, At least 2 years of experience in a technical leadership role, Strong expertise in deep convolutional neural networks, multi-object tracking, data association, supervised learning, and pose estimation, Strong mathematical foundations in linear algebra and numerical optimization, Familiarity with geometric concepts in computer vision, Experience designing and optimizing algorithms for CPU and GPU architectures, Experience with MLOps including data annotation, data storage, model evaluation, and model deployment, Familiarity with common computer vision and machine learning libraries, Publications in computer vision or robotics conferences (CVPR, ICCV, RSS, ICRA preferred) 📃 Skills: Python, PyTorch, OpenCV, NumPy, CUDA, CPU, GPU, YOLO, FasterRCNN, MaskRCNN, MLOps, CNN, SLAM 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.Agility Robotics is deploying humanoid robots that are solving real-world challenges in logistics and manufacturing. Perceiving and understanding the world is critical to Digit's success in these applications. The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms. Responsibilities: As a technical lead, you will own the architecture and technical roadmap for object perception systems used by the robot in production Design, develop, and deploy machine learning algorithms for multi-object detection, scene understanding, and 6-DoF object pose estimation Evaluate and drive adoption of state-of-the-art perception models Promote best practices in architecture, design, and testing to deliver high-quality, scalable software Optimize deep neural networks and associated data processing to run efficiently on embedded systems Collaborate with navigation, manipulation and hardware teams to align perception capabilities with product requirements Requirements: 5+ years of experience deploying machine learning-based object detection algorithms on mobile robots with at least 2 years of experience in a technical leadership role Proficiency in related technical areas such as (but not limited to) deep convolutional neural networks, multi-object tracking, data association, supervised learning and pose estimation Strong mathematical fundamentals in linear algebra and numerical optimization and familiarity with core geometric concepts in computer vision Familiarity with common computer vision and machine learning libraries such as (but not limited to) PyTorch, OpenCV, NumPy, etc. Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment Publications in your field (CVPR, ICCV, RSS, ICRA preferred) Bonus Qualifications: Experience using YOLO, Faster/Mask R-CNN Experience developing ML models for 3 or 6 dof pose estimation This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.Anticipated Salary Range$207,000—$323,000 USDIn addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: https://grnh.se/b444bbd04us

🏢 Summary: Hybrid software engineering role focused on building and maintaining frontend, desktop, mobile, and cloud features for Tulip’s Edge platform used in industrial operations. The position involves developing production-grade applications, integrating devices and microservices, and collaborating across product, QA, and embedded engineering teams. Candidates will contribute to scalable infrastructure, debugging, testing, and deployment practices in a fast-paced AI-native manufacturing environment. 🗂️ Requirements: 2-5+ years of software engineering experience, Strong proficiency in TypeScript, Experience building production web applications, Familiarity with RESTful API design and integration, Proficiency in unit testing, Proficiency in integration testing, Debugging skills, Ability to work independently and in teams 📃 Skills: TypeScript, REST, React, ReactNative, Expo, Electron, MacOS, Windows, Kubernetes, CI/CD, Microservices, Cursor, Claude, Copilot 🏢 Description: This role is located in Somerville, MA - We are a hybrid work environment and are in the office 3+ days/per week. Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip's cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category. About You: You're a builder at heart, someone who thrives on shipping features that make an immediate difference for frontline teams. You love learning new things and are a collaborative team player, whether working independently or as part of a group. You have a product mindset and empathy for the end user — the operators and admins who rely on Edge every day. You love a good challenge and enjoy diving into unfamiliar corners of a large tech stack. You care about the details that make software feel fast and dependable. What skills do I need? 2-5+ years of software engineering experience, ideally building production web applications. Strong proficiency in TypeScript is required. Familiarity with API design and integration (RESTful services). Proficiency in unit testing, integration testing, and debugging practices. Works well both as an individual and as part of a team. Nice to Have: Familiarity with React, React Native/Expo (mobile) and/or Electron (desktop) app development. Experience with MacOS and Windows platform development. Experience with hardware/device integrations. Knowledge of Kubernetes/container orchestration and microservices deployment. Knowledge of CI/CD pipelines and automated deployment strategies. Comfortable using AI coding tools (Cursor, Claude Code, Copilot, or equivalent) to land production PRs. Key Responsibilities: Design, build, and maintain features across Edge's product surfaces, such as the Tulip Player application, device drivers, and cloud microservices. Partner with product, design, and QA to scope and ship features end-to-end, from prototype to production. Debug and resolve customer-facing issues surfaced in real manufacturing environments. Write clean, tested, well-documented code, and participate in code review to raise the bar for the team. Contribute to technical and architecture decisions that affect the reliability and scalability of the platform. Take part in the team's on-call/support rotation, triaging and resolving incoming technical requests. Collaborate with Edge's embedded engineers on integrations touching drivers and devices. Help evolve deployment, monitoring, and infrastructure practices, including microservices and container tooling. Key Collaborators: Product Design Product Management QA Customer Support Working At Tulip: We know even great candidates experience imposter syndrome. Even if you don't match every requirement, applying gives you the opportunity to be considered. We're building a strong, diverse team that values hard work, families, and personal well-being. Here are some of the benefits of working with us: Direct impact on product and culture. Company equity. Competitive benefits package including Health, Dental, Vision, Short-term Disability, Long-term Disability, Life Insurance, AD&D Insurance, Flexible Spending Account (FSA), Commuter Benefits, Parental Leave, and 401(K). Flexible work schedule and unlimited vacation policy Fitness subsidies. Dog-friendly office. We are an equal opportunity employer. At Tulip, we celebrate all and are committed to building an inclusive community that will transform frontline operations. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range posted, actual compensation will be determined depending on multiple factors including job-related knowledge & skills, experience, business needs, geographical location, market compensation data, and internal equity. Expected compensation ranges for this role may change over time. The salary range for this position is $130,000 - $180,000 per year. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Please note that we may use AI-based tools to support parts of our hiring process. All data processing is carried out in compliance with local data protection laws, ensuring all personal candidate information is handled securely and ethically.

🏢 Summary: Staff NPI Manufacturing Engineer responsible for leading the transition of electromechanical products from prototype through pilot builds into scaled production. The role drives manufacturability, quality, and testability across subassemblies while partnering cross-functionally to ensure successful production launches. Focus areas include DFM/DFA/DFT, process validation, yield improvement, and supply chain readiness in NPI environments. 🗂️ Requirements: Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, or related field, 7+ years of relevant engineering experience, 5+ years in manufacturing assembly for electromechanical or embedded systems, Hands-on experience in NPI environments on the manufacturing floor, Experience transitioning products from development through PVT to end of life, Experience with manufacturing test requirements and test stand development, Knowledge of FMEA, ECO processes, and PLM systems, Experience supporting EMS/CM partners and supply chain readiness, Authorization to work in the United States 📃 Skills: DFM, DFA, DFT, SPC, Lean, SixSigma, FMEA, ECO, PLM, Altium, Creo, HALT, PVT, EVT, DVT 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, the company is pioneering a new era of automation that enhances human potential. About the Role We're looking for a Staff NPI Manufacturing Engineer to lead the transition of innovative, electromechanical designs from prototype through pilot builds into scaled production. This role focuses on new product introduction (NPI) and is critical in ensuring manufacturability, quality, and testability across electromechanical subsystems and sub-assemblies including hardware, sensors, actuators, cables, and integration modules. This is a highly cross-functional role, partnering with electrical and mechanical design, test engineering, quality, and supply chain—along with EMS and mechanical suppliers—to ensure rapid, repeatable, and high-quality production launches. About the Work - Lead NPI activities across multiple product lines, managing the transition from design to production for various electromechanical subassemblies. - Own DFM/DFA/DFT efforts during early design phases to influence product architecture and ensure manufacturing scalability. - Develop and release work instructions, BOMs, process flows, test procedures, and fixture/tooling designs across prototype and pilot builds. - Drive build readiness, supporting Proto/EVT/DVT/PVT activities including line bring-up, process validation, and pilot build execution. - Troubleshoot and resolve issues at the sub-system and system level, conducting structured root cause analysis for mechanical or electrical issues. - Partner with EMS providers and component suppliers to drive first-pass yield, throughput, and process capability. - Support yield improvements and cost reduction through data analysis and process optimization using SPC, lean, and 6 sigma tools. - Contribute to environmental, reliability, and lifecycle testing plans and setups (e.g., burn-in, thermal cycling, HALT). - Develop, review, and release manufacturing specifications, drawings, BOMs, processes, SOPs, equipment, workflows, and tools/fixtures for new products to support high-quality production. - Collaborate with suppliers and contract manufacturers to ensure effective qualification, process capabilities, and material disposition. - Document processes clearly and communicate effectively across teams. About You - Bachelor's degree in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, or a related field, with 7+ years of relevant experience. - 5+ years in manufacturing assembly for electromechanical or embedded systems products; experience in NPI environments directly working on the manufacturing floor is highly preferred. - Hands-on experience in supporting and troubleshooting the design, assembly, and testing of electro-mechanical systems utilizing data analysis and lean methods. - Experience in transitioning products and processes from development to production (NPI), including into Production Validation Testing (PVT) through to end of life (EOL). - Familiarity with creating manufacturing test requirements, test stand equipment development, validation testing, Engineering Change Order (ECO) production release, and training engineers, production staff, and suppliers/CMs. - Proficiency with Altium and/or Creo is a significant plus, along with mechanical design knowledge to create and release test fixtures. - Experience supporting EMS/CM partners and driving supply chain readiness. - Working knowledge of FMEA, ECO processes, PLM systems, and design validation best practices. - Excellent communication, technical documentation, and collaboration skills. Benefits Anticipated Base Salary Range: $144,000—$186,000 USD In addition to base pay, the competitive total rewards package for full-time employees includes: - 401(k) plan with 6% company match - Company stock options - 100% company-paid medical, dental, vision, and short/long-term disability insurance - Benefits eligibility from first day of employment - Employee Assistance Program (EAP) - Flexible, unlimited PTO for exempt employees or 10 vacation days plus paid sick leave for non-exempt employees - 12 company holidays including a winter shutdown - Catered lunches and on-site snacks - Generous paid parental leave - Flexible work arrangements - Professional development and tuition reimbursement programs - Relocation assistance for eligible roles - Annual discretionary bonus for eligible roles All roles are U.S.-based. Applicants must have current authorization to work in the United States.