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 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: 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: 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 on frontier LLMs to power autonomous supply chain workflows. The position involves designing agent harnesses, orchestration, evaluation frameworks, and integrations with enterprise systems, working closely with customers and internal teams to take ideas from 0-to-1 through scaled deployment. This is a founding-level opportunity to own the agent layer and infrastructure behind an applied AI platform. 🗂️ Requirements: 5+ years of software engineering experience, 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 PostgreSQL data models, Hands-on experience with prompt engineering, evaluation frameworks, and agent orchestration in production, Experience integrating with enterprise systems such as WMS, TMS, or ERP, Ability to build and deploy production-grade agent systems on frontier LLMs, Experience working in fast-paced, ambiguous environments 📃 Skills: Python, TypeScript, Node.js, PostgreSQL, LLMs, APIs, DistributedSystems, PromptEngineering, EvaluationFrameworks, Orchestration, MCP, WMS, TMS, ERP 🏢 Description: Description Traba is building an agentic AI platform that operates autonomously inside customers' supply chain workflows. As a Senior AI Agent Engineer and founding member of the Agents team, you will design and ship production agent harnesses on top of frontier models, embedding deeply in customer operations and turning field insights into durable product. You will partner closely with the CTO, product, and operators to take ideas from 0-to-1 through scaled deployments. Responsibilities - Embed with customers and operators to understand supply chain operations and design agents that remove meaningful work from their workflows. - Build production agent systems on frontier LLMs, including tool use, sub-agents, retrieval, structured outputs, MCP servers, and orchestration. - Own evaluation as a core discipline by creating datasets from real traces, defining rubrics and graders, running experiments, and driving 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. Requirements - 5+ years of software engineering experience, including 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 ($200,000–$240,000). - 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. Equal Opportunity Employer We evaluate all applicants without discrimination based on legally protected characteristics and encourage applicants from diverse backgrounds, experiences, and skill sets.

🏢 Summary: Role focused on developing and productionizing machine learning models to evaluate and improve the behavior of autonomous vehicles at scale. The position involves building ML infrastructure, large-scale data and simulation workflows, and deploying state-of-the-art models into production systems. It requires close cross-team collaboration to enhance model performance and driver evaluation systems. 🗂️ Requirements: BS in Computer Science, Robotics, Statistics, Physics, Math or related quantitative field or equivalent experience, 4+ years building production ML models, Experience deploying ML models to production systems, Strong coding skills in Python and/or C++, Background in applied Deep Learning, Proven track record of improving model quality 📃 Skills: Python, C++, MachineLearning, DeepLearning, ReinforcementLearning, TransferLearning, DataSystems, Simulation, Algorithms 🏢 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.The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack. This role follows a hybrid work schedule and reports to an Engineering Manager. You will: Develop ML models that assess our autonomous vehicle's behavior. Develop ML infrastructure to support performant models. Collaborate across teams to bring state-of-the-art to production. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area, or equivalent work experience 4+ years of experience building productionized ML models Code and design skills: comfort building production systems (Python / C++) Background in applied Deep Learning A track record in improving model quality We prefer: 6+ years of experience building productionized ML models Experience in reinforcement learning, transfer learning, or learning. Experience with large scale data and models 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: Product Manager role leading the vision and execution of an AI-first DevAI platform transforming internal autonomous driving software workflows. The position focuses on building and scaling AI-powered developer tools, defining data-driven productivity frameworks, and enabling secure integration of generative AI into engineering systems. You will drive strategy, prioritization, and cross-functional execution to embed AI deeply into developer workflows. 🗂️ Requirements: Deep hands-on engineering experience, Practitioner-level expertise with coding agents and agentic frameworks, Proven experience building and launching developer tools or AI-integrated platforms, Strong knowledge of Generative AI and LLMs in developer workflows, Experience defining and tracking engineering productivity metrics, Ability to design secure AI integration with proprietary systems, Experience leading cross-functional technical initiatives 📃 Skills: LLMs, GenerativeAI, DevTools, Agentic, MCP, APIs, Security, DX, SPACE, Metrics, Python, Cloud 🏢 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 the Director of Product Management. You will: Define a compelling vision for Waymo's DevAI platform, shaping how autonomous driving software is built by completely transforming internal workflows into AI-first paradigms. Exercise a highly focused and disciplined mindset to ruthlessly prioritize investments. You will guide a high-impact core team in a rapidly changing technological landscape. Act as the primary thought leader and educator on AI-Powered Devtools for all of Waymo's engineers—cutting through the hype, organizing fragmented information (newsletters, new tools), and keeping teams focused on actionable insights. Own the developer productivity survey and engineering education programs, ensuring they are tightly aligned with and accelerating our DevAI strategy. Resolve technical and strategic ambiguities, making highly complex product decisions that carry long-term strategic impact for all Waymo engineers. Set up the organization to grow by simplifying interfaces and processes for AI-Powered Devtools adoption from inception to deployment. Establish robust, data-driven frameworks (e.g., DX Framework, SPACE metrics) to measure the true ROI of DevAI integration. Partner with engineering and security teams to design and implement secure integration layers, ensuring AI tools safely access proprietary data without exposing core assets. You have: Deep engineering experience coupled with hands-on, practitioner-level expertise using modern coding agents and agentic development framework. Extensive experience as a Product Manager, with a track record of building and launching complex developer tools, platforms, or AI-integrated products. Demonstrated AI fluency (Generative AI, LLMs) and a deep understanding of how they map to and transform real-world developer workflows. An entrepreneurial mindset with the ability to navigate high ambiguity and pioneer new paradigms. Strong cross-org leadership skills, uniquely capable of identifying collisions, mediating solutions, and inspiring both engineering and research teams. We prefer: Experience driving organizational mindset shifts and large-scale, high-visibility technical initiatives that impact entire engineering organizations. Prior hands-on experience building, implementing, or managing tools utilizing the Model Context Protocol (MCP) or similar agent-to-application integration frameworks. 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—$297,000 USD

🏢 Summary: Senior Software Engineer role focused on building software that powers AI-driven autonomous machines operating in the physical world. The position covers full lifecycle development, including architecture, control logic, hardware integration, data pipelines, and deployment. You will design distributed systems and validate solutions on real hardware in a hybrid work model. 🗂️ Requirements: 5+ years of software engineering experience, Proficiency in a modern programming language (C++, Java, Go or similar), Experience designing complex, distributed systems, Experience with system architecture and multi-level software design, Ability to build and test control systems for hardware, Experience with real-time data processing, Fluent English for technical communication 📃 Skills: Python, C++, Java, Go, DistributedSystems, SystemArchitecture, ControlSystems, HardwareIntegration, DataPipelines, Cloud, Drivers, UnitTesting, Simulations 🏢 Description: Tired of building web apps that only live on a screen? We're looking for someone who wants to write code that actually moves things in the physical world. We are working with a tech company focused on smart, AI-driven automation. Their goal is to teach autonomous systems how to navigate and manipulate physical objects - connecting advanced software with real-world tasks. You'll join a strong, compact team of engineers who previously worked at major tech giants and successful startups. Your code will have a direct impact on real operations, and yes - you will test it on actual physical hardware. What You Will Be Doing As a Senior Software Engineer, you'll work on software that powers autonomous machines. You'll be involved in the whole product lifecycle - from research and architecture to coding, testing, and deployment. What you'll actually do: Control Logic: Design the business logic and control systems that allow machines to handle and manipulate physical items. Hardware Integration: Write drivers to interface with electromechanical systems and hardware components. Data Pipelines: Build cloud-based tools to process real-time data from the systems' sensors and actions. System Architecture: Create adaptable, distributed systems that integrate with various enterprise environments and customer setups. Testing: Validate your code using unit tests, simulations, and finally - run it on real hardware. What We Are Looking For: Experience: 5+ years in software engineering. Tech Stack: Strong problem-solving skills and proficiency in a modern programming language (C++, Java, Go, etc.). The client mainly uses Python , but you don't need to know it beforehand - we value engineering fundamentals and system design skills more than syntax. Architecture: Experience in designing complex, multi-level software systems and distributed architectures. Communication: Fluent English. You need to be comfortable talking to clients, gathering requirements, and explaining technical concepts clearly. Offer: Financials: Alongside a solid UoP base salary, you'll get stock options in a growing pre-IPO company. You can also use 75% KUP (Autorskie Koszty Uzyskania Przychodu) to boost your net pay. Flexibility: Flexible working hours and a hybrid model - you only need to show up at the Warsaw lab 5 days a month to work with the hardware. Great Team: Work with highly skilled engineers in an English-speaking environment.

🏢 Summary: Senior engineer role focused on designing and implementing evaluation frameworks for large ML models powering autonomous driving systems. The position centers on developing metrics, simulation strategies, and data pipelines to rigorously assess model performance and safety at scale. The role involves close collaboration with ML and research teams to translate quantitative insights into production-ready evaluation tools. 🗂️ Requirements: 7+ years industry experience in quantitative software engineering, Proficiency in Python or C++, Experience with software design principles and testing methodologies, Experience with version control systems, Experience building large-scale data processing or evaluation pipelines, Strong knowledge of AI fundamentals including transformer architectures, Experience evaluating machine learning models, Experience productionizing quantitative tools, Ability to define technical strategy and roadmaps 📃 Skills: Python, C++, MachineLearning, Transformers, Simulation, DataPipelines, DataAnalysis, JAX, TensorFlow, VersionControl, Testing, Robotics 🏢 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.The Large Model Evaluation team is at the nexus of Waymo’s AI ambition. With advancements in Large Language Models (LLMs) and Vision-Language Models (VLMs), Waymo is building state-of-the-art AI systems that handle the full complexity of real-world driving. At its core, our progress is defined by our ability to measure it. While robust evaluation is the bottleneck for deploying any large model, the challenge at Waymo is uniquely complex and safety-critical. We are looking for quantitatively-minded engineers to research and propose new ways to assess the ML models deployed in the Waymo Driver. You will: Develop novel metrics and sampling techniques to measure the driving trajectories generated by ML models. Employ creative simulation strategies to measure the driving performance of generative AI models. Identify potential edge cases, and provide reliable performance insights that inform model development and deployment. Build data pipelines for signal discovery, data labeling, feature extraction and metric computation based on large-scale simulations. Conduct data analysis to diagnose regressions in ML models. Collaborate with world-class engineering and research teams that develop large-scale ML models. You have: 7+ years of relevant industry experience in a heavily quantitative software engineering area Experience navigating complex technical and product landscapes, defining technical strategy, and creating roadmaps. Software Engineering Fundamentals: Proficiency in programming in Python or C++ Experience with software design principles, coding best practices, testing methodologies, and version control software. Experience building software pipelines for data processing, system evaluation, or metric computation, in the context of large-scale systems. Machine learning & Quantitative Experience Knowledge of AI fundamentals, such as transformer architectures, distillation techniques, etc. Experience evaluating the quality of ML models Demonstrated experience taking quantitative findings through to productionized tools. We prefer: Experience with simulation systems, robotics, or autonomous vehicles. Familiarity with one of the modern deep learning frameworks (e.g. JAX, Tensorflow) Experience leading a team of Engineers 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