Autonomous Fleet Specialist

🏢 Summary: Field Integration Engineer responsible for leading failure analysis, hardware validation, and system-level troubleshooting across autonomous vehicle platforms. The role focuses on root-cause investigations, corrective action validation, hardware inspections, and improving diagnostics to ensure high reliability and performance. You will collaborate cross-functionally with electrical, mechanical, software, and firmware teams to enhance integrated autonomous systems. 🗂️ Requirements: Hands-on experience debugging and assembling hardware/software systems in autonomous vehicles, robotics, or advanced systems, Experience delivering technical solutions directly to customers, Strong knowledge of automotive electronics, Familiarity with communication protocols: Ethernet, CAN, LIN, 100BASE-T1, Ability to perform root-cause failure analysis across electrical, mechanical, software, and firmware domains, Ability to independently solve complex technical problems 📃 Skills: Ethernet, CAN, LIN, 100BASE-T1, C++, Python, C, ROS, Bash, Ubuntu, Linux, Windows, CAD, SolidWorks, LiDAR, Radar, INS, Cameras, Soldering 🏢 Description: Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. We are looking for a Field Integration Engineer to lead failure analysis, hardware validation, and continuous improvement efforts across our integrated systems. In this role, you will work closely with Electrical, Mechanical, Software, Firmware, and Technician teams to drive root-cause investigations, validate corrective actions, and ensure new and serviced hardware meet high quality and functional standards. You will also contribute to improving diagnostic capabilities, refining documentation, and sharing customer feedback with product teams to enhance system performance and reliability. In the role, you will: - Drive root-cause analysis of the failure, working across electrical, mechanical, software, firmware, and technician teams as needed - Validate corrective actions to avoid future failures - Conduct thorough inspections and checkouts of new hardware and RMAs to ensure they meet quality and functional standards before shipment - Assist in collecting customer feedback and issues to share with product teams for continuous improvement - Create and review documentation such as drawings, schematics, build instructions, and incoming hardware quality tests/checks - Assist with improved diagnostics to more rapidly detect failure modes What you'll bring: - Proven hands-on experience debugging and assembling hardware/software systems - specifically in the autonomous vehicle, robotics or similar advanced systems space - Experience working with customers directly delivering technical solutions - Ability to communicate complex technical concepts to both technical and non-technical audiences - Confidence with automotive electronics and familiarity with communication protocols and tools such as Ethernet, CAN, LIN, 100BASE-T1 - Proven ability to independently solve complex, novel problems with minimal guidance through critical thinking and resourcefulness Bonus Points: - Demonstrated expertise with autonomy-specific sensors, including cameras, LiDAR, radar, and INS systems - Skills in prototyping electronics, wire harnesses, and custom hardware components - Experience with hardware design tools such as CAD, SolidWorks, soldering, etc. - Experience in programming/scripting languages (C++, Python, C, ROS, Bash), operating systems such as Ubuntu/Linux/Windows - Failure analysis experience What we offer: - Competitive compensation package including equity and annual bonuses - Excellent Medical, Dental, and Vision plans - Additional insurance and wellbeing benefits - Flexible PTO, 10 paid holidays, and generous parental leave policies - Long Term Disability, Short Term Disability, Life Insurance - 401(k) - Commuter, FSA, Dependent Care FSA, HSA - Various incentive programs (referral bonuses, patent bonuses, etc.) In alignment with its business operations, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate's residence, U.S. person status, and/or citizenship status. If applicable, visa sponsorship may be provided for eligible candidates.

🏢 Summary: Operations Specialist role supporting autonomous truck testing and commercial freight operations by safely operating self-driving trucks, monitoring system performance, and maintaining strict safety standards. The position offers competitive hourly compensation, bonus opportunities, full healthcare coverage, and retirement benefits. 🗂️ Requirements: 7+ years of Class A driving experience, Valid Class A CDL, Airbrake Endorsement, Current DOT Medical Certificate, Strictly clean MVR, No moving violations within the last 7 years, Ability to pass drug and alcohol screening, Ability to pass sleep apnea screening 📃 Skills: CDL, DOT, Airbrake, Smartphone, Tablet 🏢 Description: About Stack: Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering the creation of innovative solutions for the trucking transportation industry. About the Team: The Development Fleet Operations team is responsible for the safe testing and operation of the newest technologies. As an Operations Specialist you will contribute to the daily driving and testing of autonomous trucks, own the safety of the operation, and provide feedback on system performance and behaviors while hauling commercial freight. Responsibilities: - Safely operate autonomous trucks on the public roads to support development testing and commercial pilot operations. - Haul commercial freight between customer locations and/or meet points. - Provide feedback on system performance to advance self-driving technology. - Utilize internal tools on a smartphone/tablet to track work assigned and completed. - Uphold industry-leading safety standards, remaining compliant with internal benchmarks. - Remain alert and attentive while operating during extended stretches of autonomy. Benefits & Perks: - Compensation: $32.00 – $37.00/hr + Annual Bonus + Profit Sharing - Stack covers 100% of Medical, Dental, and Vision for employees and their families. - 401(k) plan with generous company match and annual profit-sharing contribution. - Open PTO policy and 11 paid company holidays. - 100% no-touch freight with no loading or unloading of trailers. Qualifications & Safety Standards: - 7+ years of Class A driving experience. - Valid Class A CDL with Airbrake Endorsement and current DOT Medical Certificate. - Strictly clean MVR with no history of reckless driving, leaving the scene of an accident, or license suspensions/revocations. - No moving violations within the last 7 years, including speeding, running red lights/stop signs, failure to yield, tailgating, improper turns/lane changes, distracted driving, seat belt violations, or unlawful passing. - Must pass pre-employment drug/alcohol screening and sleep apnea screening. The workplace is committed to equal opportunity, inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity. Please Note: This position may be contingent upon verification of residence, U.S. person status, and/or citizenship status due to applicable U.S. national security laws and export control regulations.

🏢 Summary: Operations Specialist role supporting autonomous truck testing and commercial freight operations, focused on safe operation of self-driving vehicles and system feedback. The position includes operating autonomous trucks on public roads, monitoring system performance, and maintaining strict safety compliance. Benefits include competitive hourly pay, bonus opportunities, full healthcare coverage, retirement matching, and open PTO. 🗂️ Requirements: 7+ years of Class A driving experience, Valid Class A CDL, Airbrake Endorsement, Current DOT Medical Certificate, Strictly clean MVR, No reckless driving or license suspensions/revocations, No moving violations within the last 7 years, Pass pre-employment drug/alcohol screening, Pass sleep apnea screening, Ability to operate autonomous trucks safely on public roads 📃 Skills: CDL, DOT, Autonomy, Trucking, Smartphone, Tablet 🏢 Description: About Stack: Stack is developing AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency in trucking transportation. The company develops autonomous technology using artificial intelligence, robotics, machine learning, and cloud technologies. About the Team: The Development Fleet Operations team is responsible for the safe testing and operation of new technologies. As an Operations Specialist you will contribute to the daily driving and testing of autonomous trucks, ensure operational safety, and provide feedback on system performance while hauling commercial freight. Responsibilities: - Safely operate autonomous trucks on public roads to support development testing and commercial pilot operations - Haul commercial freight between customer locations and/or meet points - Provide feedback on system performance to advance self-driving technology - Utilize internal tools on a smartphone/tablet to track assigned and completed work - Uphold industry-leading safety standards and remain compliant with internal benchmarks - Remain alert and attentive while operating during extended stretches of autonomy Benefits & Perks: - Compensation: $32.00 – $37.00/hr + Annual Bonus + Profit Sharing - Stack covers 100% of Medical, Dental, and Vision healthcare premiums for employees and families - 401(k) plan with company match and annual profit-sharing contribution - Open PTO policy and 11 paid company holidays - 100% no-touch freight with no loading or unloading of trailers Qualifications & Safety Standards: - 7+ years of Class A driving experience - Valid Class A CDL with Airbrake Endorsement - Current DOT Medical Certificate - Strictly clean MVR required - No history of reckless driving, leaving the scene of an accident, or license suspensions/revocations - No moving violations within the last 7 years, including speeding, distracted driving, improper lane changes, or unlawful passing - Must pass pre-employment drug/alcohol screening and sleep apnea screening Additional Information: This position may require verification of residence, U.S. person status, and/or citizenship status due to applicable national security laws and export control regulations.

🏢 Summary: Staff Software Engineer role focused on architecting and building production-grade teleoperation systems for humanoid robots, enabling complex whole-body manipulation in real-world environments. The position involves designing low-latency, scalable interfaces and control pipelines that integrate AI, hardware, and real-time systems to support large-scale human demonstration data collection. This role directly contributes to scaling a production humanoid robot fleet through robust, high-performance software systems. 🗂️ Requirements: 8+ years of experience in robotics or real-time systems, Proven experience delivering production-quality software, Deep understanding of real-time control systems, Strong knowledge of motion retargeting and rigid body dynamics, Experience designing low-latency communication and streaming systems, Ability to debug performance issues across software, networking, and hardware, Hands-on experience with VR, motion capture, or other human input systems, Strong analytical and performance validation skills, Authorization to work in the United States 📃 Skills: Robotics, Teleoperation, Real-time, Control, Streaming, Networking, VR, MotionCapture, XR, Unity, Unreal, Godot, SteamVR, OpenXR, Rendering, Simulation, RigidBodyDynamics, MotionRetargeting, NeRF, GaussianSplatting 🏢 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 As a Staff Software Engineer on the AI team, you will architect and build production-quality teleoperation systems that enable Digit to execute complex whole-body manipulation tasks in real-world environments. You will work closely with AI, controls, hardware, and operations teams to create a scalable platform for high-quality human demonstration data collection. Your work will directly enable our ability to scale up the world's first production humanoid robot fleet and revolutionize the labor market. About The Work Own the end-to-end architecture of the teleoperation system, from operator input through real-time robot execution, ensuring low latency, predictable behavior, and clear system boundaries Integrate and optimize real-time control, streaming, and communication paths to meet measurable latency and bandwidth targets Design and implement scalable teleoperation interfaces, including VR, motion capture, and other modalities, to enable high-quality manipulation and locomotion demonstrations Develop comprehensive validation strategies in simulation and on hardware, including performance benchmarks, fault handling, and regression testing Analyze teleoperation and demonstration data to improve operator efficiency, system responsiveness, and task success rates Anticipate future robot hardware and sensor changes, and design systems that can adapt to new interfaces and capabilities with minimal architectural disruption About You 8+ years of experience in robotics or real-time systems, with a demonstrated track record of delivering reliable, production-quality software Deep understanding of real-time control systems, motion retargeting, and rigid body dynamics Experience designing low-latency communication and streaming systems for real-time applications Strong systems intuition with the ability to trace performance issues across software, networking, and hardware boundaries Strong analytical and debugging skills, with a data-driven approach to performance validation and system reliability Hands-on experience integrating human input systems such as VR, motion capture, wearable devices, or other operator interfaces Excellent communication skills and the ability to collaborate effectively across AI, controls, hardware, and operations teams Bonus Qualifications Experience building applications with real-time rendering or XR frameworks such as Unity, Unreal, Godot, SteamVR, or OpenXR Experience with advanced 3D visualization techniques such as neural radiance fields, Gaussian splatting, or other scene reconstruction methods Familiarity with large-scale data collection pipelines for learning from demonstration 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$190,000—$296,000 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: 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: Senior Software Engineer role focused on diagnosing, developing, and deploying fixes for complex issues within an autonomous vehicle Planning and Controls stack. The position involves deep technical investigation, rapid production deployments, and building internal tooling to improve log analysis and team efficiency. You will collaborate cross-functionally to resolve on-road software issues and accelerate autonomous system capabilities. 🗂️ Requirements: Bachelor's degree in Computer Science, Robotics, or related field, 3+ years of professional C++ software development experience, Experience building high-performance and resilient systems, Ability to work with large, complex codebases, Experience delivering software in a production environment, Familiarity with CI/CD pipelines and version control at scale, Understanding of rigorous release cycles 📃 Skills: C++, CI/CD, Git, Jira, Confluence, GitLab, ROS, DDS, Simulation, LogAnalysis, Automation, Scripting 🏢 Description: Mission Summary: We are looking for a Senior Software Engineer to join our Actions Sustaining Team to diagnose, develop and deploy solutions to solve the immediate challenges facing our deployed autonomous software. You will play a pivotal role in resolving issues that will help accelerate the growth of our autonomous capabilities. What you'll be doing: Technical Discovery: Deep-dive into complex issues within the Planning and Controls stack reported by the triage team. You will parse logs and replay simulation data to find the "why" behind anomalous vehicle actions. Accelerated Resolutions: Own the deployment of software fixes. When a business need arises for an immediate solution, you will lead the development, testing, and deployment. Tooling & Automation: Identify improvements in existing workflows. You will develop internal tooling and scripts to expedite log analysis, automate common patterns, and improve the efficiency of the entire team. Cross-Functional Collaboration: Act as the technical liaison between teams to ensure alignment between on-road issues and current development work. What we're looking for: Bachelor's degree in Computer Science, Robotics, or a related field. A Master's or Ph.D. is preferred. 3+ years of C++ software development proficiency, with a focus on building high-performance and resilient systems. Comfortable navigating and contributing to large, complex codebases where modularity and documentation are key. Proven track record of delivering software in a production environment, including familiarity with CI/CD, version control at scale, and rigorous release cycles. Passionate about a driverless future and understand the high stakes of deploying software that interacts with the physical world. Bonus Points (not required): Experience in Jira, Confluence and Gitlab. Background in robotics middleware (ROS, DDS) or autonomous systems. Compensation and Benefits: The salary range for this role is $172,000—$229,000 USD (base salary). This role may include additional forms of compensation such as a bonus or company equity. Benefits include medical, dental, vision, 401k with company match, health savings accounts, life insurance, pet insurance, and more.

🏢 Summary: Senior Software Engineer role focused on diagnosing, resolving, and deploying fixes for complex issues in an autonomous vehicle Planning and Controls stack. The position involves deep log and simulation analysis, rapid production deployments, and development of internal tooling to improve engineering efficiency. The engineer acts as a technical bridge to ensure alignment between on-road incidents and ongoing software development. 🗂️ Requirements: Bachelor's degree in Computer Science, Robotics, or related field, 3+ years of professional C++ development experience, Experience building high-performance, resilient systems, Ability to work within large, complex codebases, Production software delivery experience, Experience with CI/CD pipelines, Experience with version control systems 📃 Skills: C++, CICD, Git, Simulation, Logging, Robotics, Planning, Controls, Automation, Scripting, ROS, DDS, Jira, Confluence, GitLab 🏢 Description: Mission Summary:We are looking for a Senior Software Engineer to join our Actions Sustaining Team to diagnose, develop and deploy solutions to solve the immediate challenges facing our deployed autonomous software. You will play a pivotal role in resolving issues that will help accelerate the growth of our autonomous capabilities. What you'll be doing: Technical Discovery: Deep-dive into complex issues within the Planning and Controls stack reported by the triage team. You will parse logs and replay simulation data to find the "why" behind anomalous vehicle actions. Accelerated Resolutions: Own the deployment of software fixes. When a business need arises for an immediate solution, you will lead the development, testing, and deployment . Tooling & Automation: Identify improvements in existing workflows. You will develop internal tooling and scripts to expedite log analysis, automate common patterns, and improve the efficiency of the entire team. Cross-Functional Collaboration: Act as the technical liaison between teams to ensure alignment between on-road issues and current development work. What were looking for: Bachelor's degree in Computer Science, Robotics, or a related field. A Master's or Ph.D. is preferred 3+ years of C++ software development proficiency, with a focus on building high-performance and resilient systems. Comfortable navigating and contributing to large, complex codebases where modularity and documentation are key. Proven track record of delivering software in a production environment, including familiarity with CI/CD, version control at scale, and rigorous release cycles. Passionate about a driverless future and understand the high stakes of deploying software that interacts with the physical world. Bonus Points(not required): Experience in Jira, Confluence and Gitlab Background in robotics middleware (ROS, DDS) or autonomous systems. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$172,000—$229,000 USDMotional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

🏢 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