Platform Verification Engineer - Embedded Systems

🏢 Summary: The role focuses on leading verification and validation of autonomous vehicle software, ensuring autonomy platform components meet requirements through simulation, automated testing, and data-driven analysis. You will own verification processes across modules such as localization, motion planning, and control, while enhancing simulation tools and CI infrastructure. The position requires strong systems engineering expertise and software development skills to validate AV releases before deployment. 🗂️ Requirements: Bachelor’s degree in Engineering (MS/PhD preferred), 3+ years of experience in automotive, robotics, or related industry, Experience in systems engineering and verification & validation (V&V), Experience working with requirements and performance metrics, Knowledge of autonomous vehicle stack, Experience verifying complex systems, Strong fundamentals in mathematics, engineering, and physics, Understanding of vehicle dynamics, Strong programming skills in Python, C++, or Rust, Proficiency in data analysis and statistics 📃 Skills: Python, C++, Rust, CI, Simulation, Statistics, Data-analysis, Localization, Motion-planning, Control-systems 🏢 Description: A strong focus will be on: - Creating verification plans for autonomous vehicle subsystems based on requirements. - Developing and maintaining test infrastructure including simulation, Continuous Integration (CI) and analytics dashboards. - Automated test execution and reporting. You will… - Own the verification of autonomy platform software against requirements and define ways to evaluate them efficiently and effectively. - Act as a central point of contact for verification of code modules including localization, motion planning and control. - Define necessary improvements for our highly realistic simulator to effectively verify autonomous platform aspects under all required conditions. - Own the writing and tracking of tests and test executions in line with company project milestones. - Create statistical analysis methods to inspect platform performance across large datasets. - Implement tools and methodologies to streamline and automate the platform verification processes. - Work closely with multiple engineering teams to validate AV software releases before physical deployment. - Bring an in-depth understanding of sensors, compute and actuators used in self-driving systems. Qualifications: - Bachelors in an engineering discipline (MS/PhD preferred) with 3+ years of experience in automotive, robotics, or a related industry. - Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. - Proven experience in systems engineering, verification and validation (V&V), and working with requirements and metrics. - Knowledge of the typical autonomous vehicle stack. - Experience in verification of complex systems. - Strong fundamentals in mathematics, engineering and physics and basic understanding of vehicle dynamics. - Strong software development skills (Python, C++, or Rust) with proficiency in data analysis and statistics. Bonus/nice to have: - Experience developing and launching products in the autonomous vehicle or robotics industries. - Experience with high-fidelity simulation systems. - Experience building software systems from scratch. Salary Range: - US: $133,650 - $222,000 USD plus equity incentive awards and annual performance bonus. - Canada: $154,289 - $220,000 CAD plus equity incentive awards and annual performance bonus. Perks/Benefits: - Competitive compensation and equity awards. - Health and Wellness benefits including Medical, Vision and Dental coverage. - Unlimited Vacation. - Flexible hours and Work from Home support. - Daily drinks, snacks and catered meals (when in office). - Regularly scheduled team building activities and social events.

🏢 Summary: Staff HiL Software Infrastructure Engineer role focused on building and scaling a modular Hardware-in-the-Loop ecosystem for humanoid robots, including automation frameworks, real-time simulation models, and CI/CD infrastructure. The position involves developing hardware interface libraries, managing Linux-based testing environments, and collaborating across firmware and electrical engineering teams. This hybrid role includes competitive compensation, equity, comprehensive benefits, and opportunities to work on next-generation robotic systems. 🗂️ Requirements: 5+ years in test engineering, design verification, or electrical validation, Experience with Hardware-in-the-Loop systems and V&V methodologies, Proficiency in Python, Experience with MATLAB, Experience with Simulink, Experience with GitHub Actions, Knowledge of EtherCAT, Knowledge of Ethernet, Knowledge of CAN, Knowledge of SPI, Knowledge of I2C, Knowledge of differential UART, Experience with real-time simulation platforms, Experience with Linux RT, Bachelor’s degree in Computer Science, Computer Engineering, or related field, Authorization to work in the United States 📃 Skills: Python, MATLAB, Simulink, GitHub, EtherCAT, Ethernet, CAN, SPI, I2C, UART, dSpace, Linux, Docker, IsaacSim, MuJoCo, Gazebo, Webots, PXI, SCPI 🏢 Description: Role Overview Agility Robotics is seeking a Staff HiL Software Infrastructure Engineer to join the Systems Engineering, Integration & Test (SEIT) team. This critical role will lead the development of a modular, rack-based Hardware-in-the-Loop (HiL) ecosystem for our next-generation V5 humanoid robot. You will be responsible for the core software infrastructure that powers our automated testing, including real-time simulation models, CI/CD pipelines, and hardware interface libraries. Key Responsibilities - Automation Framework Development: Design, implement, and scale test automation frameworks to support continuous firmware and software regression testing. - CI/CD Pipeline Engineering: Build and manage automated pipelines using GitHub Actions to trigger firmware flashing and test execution on physical HiL runners. - Real-Time Simulation Modeling: Develop high-fidelity RT models for motor, encoder, communication framework and sensor emulation to support sub-system and full-system HiL benches. - Hardware Interface Libraries: Create and maintain robust software libraries for interfacing with industrial hardware protocols, including EtherCAT, CAN, SPI, I2C, SCPI-controlled power supplies, and PXI relay APIs. - Infrastructure Management: Configure and maintain Linux-based workstations as GitHub Actions self-hosted runners, ensuring deterministic and traceable test environments. - Cross-Functional Collaboration: Partner with Electrical Engineers and Firmware teams to define signal mapping, fault injection requirements, and sensor data simulation strategies. - Fault Injection Implementation: Programmatically control Fault Injection Units (FIU) to simulate short-to-battery, short-to-ground, and open-circuit conditions on critical robot signals. Technical Skills & Requirements Core Requirements - Minimum of 5 years of experience in test engineering, design verification, or electrical validation - Strong preference for experience in robotics, autonomous vehicles, aerospace, or other complex hardware systems - Extensive experience in designing, implementing, and maintaining Hardware-in-the-Loop (HiL) systems, and deep familiarity with Verification & Validation (V&V) methodologies for complex robotic or embedded systems - Strong proficiency in Python for automation, scripting, and development, as well as MATLAB/Simulink for real-time model development - Proven experience with GitHub Actions and test automation framework in a hardware-focused environment - Deep understanding of EtherCAT, Ethernet, CAN, SPI, I2C, and differential UART - Experience with real-time simulation platforms such as dSpace (Labbox/SCALEXIO/ConfigurationDesk) or NI, and real-time operating systems like Linux RT Preferred Qualifications - Familiarity with Acontis and other EtherCAT simulation - Proven experience in Linux system administration and Docker for containerized test environments - Experience with one or more robotics simulation platforms such as NVIDIA Isaac Sim, MuJoCo, Gazebo, or Webots - Experience with programmable power supplies, electronic loads, and PXI-based switching hardware - Experience in a high-growth startup or New Product Introduction (NPI) environment, specifically bridging the gap between R&D prototypes and production hardening Education - Bachelor’s degree in Computer Science, Computer Engineering or a related field (Master’s preferred) This is a hybrid position based out of one of the Fremont, CA offices. Anticipated Base Salary Range $190,000—$247,000 USD Benefits - 401(k) plan with 6% company match - Company stock options - 100% company-paid medical, dental, vision, and disability insurance for employees - Benefits eligibility starting on first day of employment - Employee Assistance Program (EAP) - Flexible unlimited PTO for exempt employees - Paid holidays including winter shutdown - Catered lunches and on-site refreshments - Paid parental leave - Flexible work arrangements - Professional development and tuition reimbursement programs - Relocation assistance for eligible roles - Annual discretionary bonus for eligible roles Applicants must have current authorization to work in the United States.

🏢 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: 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 developing low-latency real-time control, communication, and operator interface systems while collaborating across AI, controls, hardware, and operations teams. This hybrid U.S.-based role includes competitive compensation, equity, benefits, and opportunities to shape scalable humanoid robotics deployments. 🗂️ Requirements: 8+ years experience in robotics or real-time systems, Experience delivering production-quality software, Deep understanding of real-time control systems, Knowledge of motion retargeting, Knowledge of rigid body dynamics, Experience designing low-latency communication systems, Experience with real-time streaming systems, Strong debugging and analytical skills, Experience integrating VR or motion capture input systems, Ability to collaborate across technical teams, Current authorization to work in the United States 📃 Skills: Robotics, Teleoperation, VR, MotionCapture, XR, Unity, Unreal, Godot, SteamVR, OpenXR, Networking, Streaming, Simulation, Debugging, Rendering, Visualization, 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, the company is 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 the scaling of a production humanoid robot fleet. 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 is a hybrid position based out of one of the Salem, Pittsburgh, or Fremont offices. Anticipated Salary Range $222,000—$346,000 USD In addition to base pay, the total rewards package consists of the following for full-time employees: - 401(k) plan with 6% company match - Company stock options - 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees - Benefits eligibility starting on the first day of employment - Employee Assistance Program (EAP) - Flexible unlimited PTO and 12 company holidays for exempt employees - Vacation days, paid sick leave, and holidays for non-exempt employees - Catered lunches and snacks at Salem and Pittsburgh locations - Generous paid parental leave programs - Flexible work arrangements - Professional development and tuition reimbursement programs - Relocation assistance for eligible roles - Annual discretionary bonus for eligible roles Applicants must have current authorization to work in the United States. Agility Robotics is committed to equal employment opportunity and maintaining a professional work environment free from discrimination and harassment.

🏢 Summary: The offer is for a Senior Robotics Software Engineer responsible for developing and scaling core robotics software, leading migration to ROS2, and implementing Digital Twins in Nvidia IsaacSim. The role focuses on building robust control systems, accurate simulations, and real-world interaction logic for intelligent robots operating in production. It combines advanced software engineering with hands-on robotics challenges in a hybrid work model. 🗂️ Requirements: Strong proficiency in Python or C++, Experience with ROS or ROS2, Experience with simulation tools (Gazebo, Nvidia IsaacSim, Nvidia Omniverse), Experience with cloud technologies, Ability to design modular control systems, Experience with robotics projects or R&D initiatives, Fluent English 📃 Skills: Python, C++, ROS, ROS2, Gazebo, IsaacSim, Omniverse, Cloud, Robotics, Simulation 🏢 Description: Location: Warsaw (Hybrid - 5 days in the office / month) Salary: 26,000 - 32,000 PLN gross (Employment Contract) + Equity Contract Type: Employment Contract (eligible for 75% tax-deductible costs / AKUP) 🚀 Our Client For our Client - a fast-growing deep-tech startup backed by top VC funds - we are looking for a hybrid engineer who bridges the gap between high-level software and physical hardware. The company is in the best position globally to solve the "Physical AI deployment gap" - currently the hottest topic in Artificial Intelligence. They build intelligent robots that are already operating at scale, and they are looking for someone to help "teach" these robots to understand the real world. The engineering team consists of veterans from Google, Nvidia, ByteDance , and top robotics companies. The organization values a culture of ownership, offering freedom to build amazing things without micro-management. 🎯 Your Role in the Team As a Senior Robotics Software Engineer, you will face hard technical problems right from the start. Key challenges for the first 3 months include migrating the technology stack to ROS2 and introducing "Digital Twins" in Nvidia IsaacSim . You will: Core Robotics Development: Design and implement modular control systems. The team needs robust code, not just high-level GUI configurations. Simulation & Digital Twins: Work with Nvidia IsaacSim / Omniverse to create accurate simulations that speed up deployment. ROS2 Migration: Lead the architectural shift to ROS2 to ensure the robots are future-proof. Handle Reality: Develop heuristics to handle physical interactions and detect anomalies (e.g., verifying if a robot picked the correct item). Mentoring: Share your software and design experience with the team, promoting leadership and technical excellence. What We Expect ✅ The ideal candidate combines strong Core Software Skills with a genuine passion for Robotics. Software Engineering Core: Strong proficiency in Python or C++ and Cloud technologies. Robotics Stack: Experience with ROS / ROS2 and simulation tools like Gazebo, Nvidia IsaacSim, or Nvidia Omniverse . Engineering Background: Candidates with a background in student robotics projects or similar R&D initiatives are highly valued. The Right Mindset: If you have prior experience with robotics technologies but later worked as a "standard" software engineer, you are a perfect fit! Language: Fluent English. Note: The client is NOT looking for specialists experienced only in programming industrial robots via high-level GUIs. What We Offer 🎁 Top Compensation: 26k-32k PLN gross + 75% Tax-Deductible Costs (AKUP). Equity: Significant equity package – you become a co-owner of the company. Real Impact: You will see your code powering robots in production environments, solving problems no one has solved before. Best Team: Work with and learn from engineers who built Google Warsaw, unicorn startups (Climate Corp), and tested rocket engines. Freedom & Responsibility: Flexible working hours and a hybrid model (partly remote work possible). The company trusts its engineers to do their job effectively. Ready to close the Physical AI deployment gap? Apply now!

🏢 Summary: Product Manager role focused on Simulation & Evaluation platforms for large AI models powering autonomous driving systems. The position drives the development of next-generation simulation products to validate and reward production ML models, collaborating closely with engineering, research, and data science teams. It involves shaping scalable AI-centric products and enabling safe deployment of foundation models in autonomous vehicles. 🗂️ Requirements: 5+ years experience in analytical and AI-centric products, Strong understanding of foundation models, Knowledge of distributed systems, Experience with data infrastructure, Proven experience building phased product roadmaps for complex AI systems, Ability to define and evaluate quantitative ML metrics, Experience collaborating with ML researchers and data scientists 📃 Skills: AI, MachineLearning, FoundationModels, DistributedSystems, DataInfrastructure, Simulation, Evaluation, DataScience, Robotics, AutonomousVehicles, Metrics, Precision, Recall 🏢 Description: Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.Waymo’s Product Management Team is a mission-driven team responsible for writing and enacting first-of-their-kind playbooks to bring fully autonomous driving technology to market. Our team develops simple solutions for complex problems by orchestrating cross-functional efforts to safely drive Waymo’s technology and the products it enables forward. We do this by understanding the customer, the business, and the technology. We are humble about the scope of our work, collaborative in our approach to problem-solving, and ambitious about our vision for the future. This role follows a hybrid work schedule and reports to Rob Speare, Group Product Manager. You will: Work with a world class team of engineers, data scientists, and machine learning practitioners to shape the platform we use to simulate and evaluate Large models that power the Waymo Driver Push the boundaries of the Waymo Driver through next generation Simulation & Evaluation products, rewarding and validating our most important production models Understand and champion Model Developers by deeply embedding with engineers Own the product: Forge deep partnerships with Research, Simulation, Data Science, and Systems Engineering to streamline the path to launch You have: Technical Depth: 5+ years of experience in analytical and AI-centric products. You are comfortable discussing Foundation models, distributed systems, and data infrastructure Product Vision at Scale: A proven track record of decomposing "moonshot" visions into concrete, phased roadmaps Influential Leadership: Experience managing complex stakeholder environments, from ML researchers to safety boards and executive leadership We prefer: Foundation Model Implementation: Experience distilling large teacher models into students Quantitative & Analytical Rigor: Ability to partner with Researchers and Data Scientists to define complex success metrics, including "Evaluating the Evaluator" (e.g., Distributional metrics, Precision/Recall, Bias/Variance) AV or Robotics Domain Knowledge: Familiarity with the unique challenges of autonomous vehicle evaluation, including simulation realism, log-based testing, and safety gating processes The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$241,000—$306,000 USD

🏢 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: Hybrid Product Manager role focused on simulation and evaluation platforms for autonomous driving systems, enabling safe launch of the Waymo Driver in new environments and vehicle platforms. The role drives data-driven safety assessment, feature launches in simulation, and cross-functional collaboration with ML, data science, and engineering teams. 🗂️ Requirements: 5+ years experience in AV, Robotics, or ML/AI-based products, Experience in analytical or AI/ML roles working with data scientists, Experience with distributed systems, data infrastructure, or cloud computing, Experience defining and executing evaluation plans for technical products, Ability to translate long-term product vision into actionable technical plans 📃 Skills: MachineLearning, AI, Simulation, Evaluation, AutonomousVehicles, Robotics, DistributedSystems, DataInfrastructure, CloudComputing, SyntheticData, SensorSimulation, Experimentation, DataAnalysis 🏢 Description: Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.Waymo’s Product Management Team is a mission-driven team responsible for writing and enacting first-of-their-kind playbooks to bring fully autonomous driving technology to market. Our team develops simple solutions for complex problems by orchestrating cross-functional efforts to safely drive Waymo’s technology and the products it enables forward. We do this by understanding the customer, the business, and the technology. We are humble about the scope of our work, collaborative in our approach to problem-solving, and ambitious about our vision for the future. This role follows a hybrid work schedule and you will report to the Group Product Manager. You will: Understand our users; There are many different ways we leverage simulation and on-road data to make decisions at Waymo: improve models that drive the car, assess our performance in a new environment or validate the readiness of a new vehicle platform. Each of these decisions requires a commitment to safety Work with a team of world class data scientists, engineers, machine learning practitioners to evaluate the safety and quality of our driving behavior in a data-driven way Power the launch of the Waymo Driver in new environments (markets, vehicle platforms, and driving scopes) by designing and executing an evaluation plan Land features throughout simulation (such as synthetic data generation, sensor simulation and simulated agents) to increase signal and improve our ability to learn from simulation Work closely with Onboard developers who use our products to assess large model launches, to build sim & eval products that increase the quality and speed of launches You have 5+ years experience working on AV, Robotics, or products that utilize Machine Learning or AI Experience in analytical roles or AI / ML roles, interacting with data scientists Experience working in distributed systems, data infrastructure and/or cloud computing Ability to think about long-term product vision, and then decompose that into concrete, actionable plans with cross-org alignment We prefer Experience with Simulation or Evaluation of AVs, Large Foundational Model training / evaluation pipelines or the evaluation / experimentation platforms for large production systems (Ads, Search, Ranking, etc..) Experience launching new features in an evaluation / experimentation platform used by Data Scientists or engineers Experience building tools, especially simulation or eval platforms used by engineers and / or data scientists. Emphasis on building simple, guided User Experiences Master's degree in a technical or engineering field, or equivalent practical experience The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$238,000—$302,000 USD

🏢 Summary: Senior AI Agent Engineer role focused on building and deploying production-grade AI agents for supply chain operations using frontier LLMs, orchestration systems, and enterprise integrations. The position involves designing agent infrastructure, evaluation frameworks, and scalable deployment patterns while working closely with customers and internal teams. Candidates will contribute across backend systems, APIs, data models, and customer-facing workflows in a fast-moving environment. 🗂️ Requirements: 5+ years of software engineering experience, 1+ year shipping LLM or agent-based features into production, Strong Python or TypeScript/Node.js skills, Experience designing APIs and distributed systems, Experience with PostgreSQL data models, Hands-on experience with prompt engineering, Experience with evaluation frameworks and orchestration patterns, Experience integrating frontier model APIs, Ability to work in fast-paced ambiguous environments, Strong written and verbal communication 📃 Skills: Python, TypeScript, Node.js, PostgreSQL, LLMs, APIs, MCP, WMS, TMS, ERP 🏢 Description: Traba is the AI operating layer for the industrial supply chain. We started in workforce—temp staffing, the biggest operational pain point for the manufacturing and logistics customers we serve—and used it to embed ourselves inside their daily operations and create a far better customer experience through technology. Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships. By connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale. You'll build the AI agents themselves—the harnesses, evals, orchestration, and model strategy the rest of Traba's product runs on. We're seeking an entrepreneurial Senior AI Agent Engineer to join as a founding member of the Agents team and build the next layer of Traba's product—an agentic platform that synthesizes the data flowing through our marketplace and operates autonomously inside our customers' supply chain workflows. You’ll embed deeply in our customers' operations, design and ship production agent harnesses on top of frontier models, and turn what you learn in the field into durable product. You will partner closely with the CTO, product, and operators to take 0-to-1 ideas to scaled deployments. About You Builder with an AI operator's instinct: - Shipped real products on top of LLMs - Designed agent harnesses, structured tools, written evals, and tuned prompts against production traces - Focus on capability, reliability, and unit economics Domain-immersed: - Enjoy learning industry vocabulary, edge cases, and operational workflows - Build solutions shaped by customer operations High-agency in ambiguity: - Scope, build, evaluate, and ship solutions independently - Comfortable working from incomplete requirements Sweat both ends of the stack: - Work across prompt iteration, eval design, backend services, and customer-facing UI - Care about regression testing and debuggable traces You Will - Embed with customers and operators to understand supply chain workflows - Design and ship agents that automate operational work - Build production agent systems on frontier LLMs using tool use, sub-agents, retrieval, structured outputs, MCP servers, and orchestration - Own evaluation processes including datasets, rubrics, graders, experiments, and measurable improvements - Architect data, services, and APIs integrating internal systems with customer WMS, TMS, and ERP environments - Codify repeatable deployment patterns for customer rollouts You Have - 5+ years of software engineering experience - 1+ year shipping LLM- or agent-based features into production - Strong Python and/or TypeScript/Node.js skills - Experience designing APIs, distributed systems, and PostgreSQL data models - Hands-on experience with prompt engineering, evaluation frameworks, orchestration patterns, and frontier model APIs - Track record in fast, ambiguous environments - Excellent written and verbal communication skills Benefits - Start-up equity - Competitive salary - 100% paid health, dental, and vision coverage - Dinner provided via DoorDash - Free DashPass and stocked kitchen for NY employees - Commuter benefit - Gympass benefit - One Medical Membership - HSA via Optum - Talkspace - HealthAdvocate - Teledoc Health Salary Range - $200,000 - $240,000 Equal Opportunity Employer Traba evaluates all applicants without discrimination based on legally protected characteristics and encourages applicants from diverse backgrounds and experiences. Our Values - Dream Big - Olympian’s Work Ethic - Growth Mindset - Customer Obsession

🏢 Summary: Senior AI Agent Engineer role focused on building and deploying production-grade AI agents on top of frontier LLMs for supply chain operations. You will design agent harnesses, evaluations, orchestration, and supporting infrastructure, partnering closely with product and customers to take ideas from 0 to scaled deployment. The position combines deep hands-on LLM engineering with distributed systems and customer-embedded product development. 🗂️ Requirements: 5+ years of software engineering experience, 1+ year shipping LLM- or agent-based features to production, Strong proficiency in Python and/or TypeScript/Node.js, Experience designing APIs and distributed systems, Experience with PostgreSQL and data modeling, Hands-on experience with prompt engineering and evaluation frameworks, Experience with agent orchestration patterns and frontier model APIs 📃 Skills: Python, TypeScript, Node.js, LLMs, Prompting, PostgreSQL, APIs, DistributedSystems, Orchestration, Retrieval, MCP, WMS, TMS, ERP 🏢 Description: We are seeking an entrepreneurial Senior AI Agent Engineer to join as a founding member of the Agents team and build the next layer of an agentic platform that synthesizes marketplace data and operates autonomously inside customers' supply chain workflows. You will own the AI agents and the infrastructure they depend on, partnering closely with the CTO, product, and operators to take ideas from 0 to scaled deployments. About the Role You will embed deeply in customers' operations, design and ship production agent harnesses on top of frontier models, and turn field learnings into durable product. You will build the harnesses, evaluations, orchestration, and model strategy that power the broader product. Responsibilities - Embed with customers and operators to understand supply chain workflows and design agents that automate meaningful work. - Build production agent systems on frontier LLMs, including tool use, sub-agents, retrieval, structured outputs, MCP servers, and orchestration. - Own evaluation as a first-class discipline using datasets from real traces, rubrics, graders, experiments, and measurable improvements. - Architect the data, services, and APIs the agent layer depends on, integrating internal systems with customers' WMS, TMS, and ERP environments. - Codify repeatable deployment patterns to accelerate new customer rollouts. Qualifications - 5+ years of software engineering experience, with 1+ year shipping LLM- or agent-based features into production. - Strong proficiency in Python and/or TypeScript/Node.js. - Experience designing APIs, distributed systems, and data models in PostgreSQL. - Hands-on experience with production-scale prompt engineering, evaluation frameworks, orchestration patterns, and frontier model APIs. - Track record of building in fast, ambiguous environments. - Excellent written and verbal communication skills. Benefits - Start-up equity - Competitive salary - 100% paid health, dental, and vision coverage - Dinner provided via DoorDash, free DashPass, and stocked kitchen for NY employees - Commuter benefit - Gympass benefit - Additional benefits: One Medical membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health Salary Range The compensation range for this position is $200,000 to $240,000, with potential exceptions based on candidate qualifications.