Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future.

About the Role

Nuro is looking for a Director of Systems Engineering to lead a high-caliber team responsible for defining, analyzing, validating, and improving the performance of the Nuro Driver across complex hardware and software systems.

Systems Engineering sits at the center of how we turn ambitious autonomy goals into clear technical requirements, measurable performance targets, and verified system behavior on public roads. This team partners deeply across behavior, sensing, perception, prediction, planning, hardware, safety, test, and product to ensure the NuroDriver™  performs reliably in the real world and can scale across vehicle platforms and commercial use cases.

In this role, you will lead teams responsible for translating critical use cases into system requirements, conducting rigorous analyses and trade studies, informing architectural decisions, and ensuring our verification strategy establishes that the system meets the bar required for safe, scalable deployment. You will be expected to operate with strong technical depth, excellent judgment, and the leadership ability to build, coach, and raise the bar for a high-performing engineering team.

About the Work

• Lead and grow a team of Systems Engineers responsible for translating NuroDriver product and deployment goals into clear system requirements, measurable performance targets, validation strategies, and architecture tradeoffs across autonomy software, sensing hardware, safety, and real-world operations.
• Decompose critical autonomy use cases into actionable requirements for sensors, sensing systems, perception systems, and broader autonomy system behavior.
• Establish clear performance standards for complex hardware and software systems operating in real-world autonomous driving environments.
• Conduct technical analyses to determine required performance levels across sensing, perception, and other autonomy-critical capabilities.
• Lead trade studies that inform hardware architecture, software architecture, sensor configuration, system design, and deployment readiness.
• Partner closely with Systems Test Engineering and other verification teams to ensure test strategies, results, and coverage are sufficient to validate critical requirements.
• Collaborate deeply with engineering leaders across autonomy, AI, hardware, safety, product, and operations to guide prioritization and refine technical deliverables.
• Build scalable systems engineering practices that improve clarity, execution speed, technical rigor, and cross-functional decision-making.
• Mentor and develop individual contributors and managers, raising the bar for technical judgment, ownership, and execution quality.
• Recruit, hire, and onboard exceptional systems engineering talent.
• Create a team environment where high standards, strong collaboration, technical excellence, and direct feedback allow people to do their best work.
• Bring innovative and pragmatic approaches to deep technical challenges across the hardware, software, and AI systems required for autonomous driving

About You

You are a technical leader who can operate across abstraction levels, from high-level system architecture and safety-critical requirements down to detailed performance analysis and verification strategy. You are comfortable leading through complexity, making tradeoffs with imperfect information, and partnering across disciplines to drive high-quality decisions.

You have:

• 7+ years of systems engineering experience, with demonstrated delivery of complex systems against internal or external milestones.
• 5+ years of direct management experience, with a track record of building and leading high-performing engineering teams.
• Experience managing managers and scaling teams
• Strong systems engineering fundamentals, including requirements definition, system decomposition, verification and validation methods, and performance analysis.
• Experience working on complex hardware and software systems, ideally in autonomy, robotics, automotive, aerospace, defense, or another safety-critical domain.
• Strong technical judgment and the ability to make pragmatic architectural and prioritization tradeoffs.
• Experience partnering across software, hardware, test, safety, and product teams to drive system-level outcomes.
• A bachelor’s degree in a relevant engineering or technical field such as Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, Controls, Aerospace Engineering, or equivalent practical experience.

Bonus Points 

• Deep technical knowledge of modern perception systems and the ML techniques that power them.
• Experience with multiple sensing modalities such as cameras, radar, lidar, ultrasonics, or other autonomy-relevant sensors.
• Experience with autonomous driving, robotics, advanced driver assistance systems, or safety-critical AI systems.
• Software development experience in C++, Python, or related technical environments.
• Experience building verification strategies for systems deployed in real-world, safety-critical environments.
• Experience influencing technical roadmaps and architectural decisions across large, cross-functional engineering organizations

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $258,000.00 and $387,000.00 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.

About the Role

As the Autonomous Driving System Safety Lead on the Systems Engineering team, you will own and author safety claims in the forward-facing ADS safety case for onboard and offboard software, a large fraction of which is AI components. You will work closely with the autonomy software, data platform, operations, and legal teams to coordinate system requirements, AI architecture, and evidence in support of these claims. You will be responsible for ensuring that the cross-functional team creates a safety case for onboard and offboard software that is comprehensive and that potential gaps are identified and mitigated.

About the Work

• Manage safety claims by understanding the ADS design, interfaces, and technical capabilities of the system and by working closely with Autonomy Robotics and Software Infrastructure leads.
• Generate atomic claims through claim decomposition, delegating to the cross-functional teams where appropriate and managing quality where delegated.
• Generate counter-arguments (challenges) to claims, and ensure that they are either addressed or mitigated.
• Review and assess evidence from evaluation and validation as arguments for safety case claims, and by working closely with V&V test teams.
• Develop processes for and coordinate the tracking of safety performance indicators, as available from various Systems Engineering and Software Evaluation teams, to monitor driverless (driver-out L4) deployment.
• Escalate functional and technical risks, and missing work items such as test gaps, ADS design risks, and AI architecture insufficiencies to senior leadership and propose mitigations.
• Support safety research, identify appropriate technical standards and best practices that support the safety case, and apply them effectively.
• While this role starts as an individual contributor, there is opportunity to grow a team after the initially defined technical milestones.

About You

• 5+ years of technical work experience in a relevant area, of which 3+ years should be in robotics software.
• Bachelor’s Degree, Master’s Degree, or Doctoral Degree in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or related field.
• Working knowledge of and ability to apply systems engineering concepts of requirements, verification, and validation, with a deep understanding of how robotic systems work.
• Experience working in a safety-critical industry (e.g. robotics, automotive, aviation/aerospace, medical devices) for a complex robotic system.
• Hands-on experience with ISO 21448 and familiarity with ISO 8800.
• Highly collaborative in nature with strong abilities to think and communicate analytically and effectively, and the ability to build good working relationships.

Bonus Points

• Background in autonomous vehicles ideally with L4 AV deployment.
• Experience writing safety claims and system requirements for SAE L2/L3/L4 systems to operate safely.
• Experience with ISO 8800.
• Experience with naturalistic driving data and human benchmarking analysis.
• Experience with simulation of autonomous vehicles applied to verification and validation.
• Technical and strategic management experience with a small team.

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $213,480 and $319,720 for the levels at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

About The Team

The Systems Engineering team is responsible for the requirements, architecture, and validation of autonomous driving capabilities across engineering disciplines. This includes designing performance metrics, evaluation methods, and criteria for success, which the team then drives cross-functionally via requirement definition and system validation. Systems Engineering works at the intersection of hardware, software, and robot operations, with a deep understanding of technologies in all three. We are a small, high-impact team that sets the checkpoints for autonomy deployment. 

About The Role

As a Senior/Staff Software Engineer, Fault Response Verification, you will work very closely with the Autonomy development, eval infrastructure, and data science teams. You will partner closely with our Autonomy software engineering team to define system-level behavior requirements when a fault is present, implement metrics to assess requirement violations, build novel validation tooling and pipelines to achieve integration into our Safety Case and risk assessment frameworks, and contribute to risk quantification. As a key part of Nuro's systems approach, you will contribute to maintaining Autonomy’s fault-centric architecture and stress test the autonomy software stack from the system level down to modules through deterministic and probabilistic software-driven techniques towards a fail-operational system. Your work is expected to have a short-term impact on our next deployments, as well as a long-term impact on autonomy feature roadmapping and Nuro’s scaled fleet operations.

About the Work

• Dive into the system-level implications of Nuro’s autonomy architecture and software to understand the inter-dependency of failure modes with respect to the fault response.
• Define requirements for fault response with decomposition through the autonomy software and hardware architecture.
• Drive fault-centric validation concepts from prototype to production to test.
• Support the development of tools and data engineering frameworks that can inject faults into the autonomy stack and interpret results from curated amounts of simulation, on-road, and closed-course testing to assess mission capabilities and safety.
• Work closely with autonomy developers to extract high-impact metrics and performance indicators that will test our robots’ readiness to drive autonomously on public roads in the event of degraded states of software.
• Contribute to tooling for automated evaluation of issues in test logs that check for satisfaction of contingency requirements

About You

• 5+ years of technical work experience in a relevant area with 3+ years of experience with software development.
• Hands-on software experience, with the ability to code proficiently in Python or C++.
• Bachelor’s Degree or Master’s Degree in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or a related field.
• Strong understanding of robotic systems architecture—how sensing, localization, perception, prediction, behavior, and control modules interact.
• Familiarity with simulation and real-world testing of autonomous systems.
• Highly collaborative in nature, with strong abilities to think and communicate analytically and effectively.
• Bonus Points:
  • Background in the development or validation of software for L4 autonomous vehicles. 
  • Analyzing and managing FDIR (fault detection, isolation, recovery) for the software stack on semi-autonomous or autonomous vehicles or equipment.

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $176,400 and $319,720 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.

About the Role

As a Senior Software Engineer, Collision Avoidance Testing, you will work closely with the onboard autonomy, evaluation infrastructure, data science, operations, and simulation teams to evaluate the performance of the autonomous vehicle in collision avoidance scenarios. You will be responsible for identifying gaps in onroad and simulation tests, designing appropriate tests to fill those gaps, reviewing test outcomes, and iterating on test design. You will analyse the results, recommend product changes, and report on residual risk both to leadership and in the safety case.

About the Work

• Identify and design realistic scenarios to drive test coverage of collision avoidance scenarios and collision detection scenarios using replay simulations of logs and synthetic simulation of third-party accident reconstructions.
• Develop validation strategies to test Automated Emergency Braking functions using simulation and structured testing.
• Identify gaps in simulation and public roads testing and design structured test scenarios to address these gaps and by leveraging appropriate standards from NHTSA or NCAP.
• Support the building of and using models to quantify risk in scenarios with non-zero probability of collision.
• Author test and residual risk reports, and make strategic recommendations based on the results for improving  simulation or test realism and autonomy architecture. 
• Support the safety case by identifying, documenting, and communicating collision avoidance and simulation or test realism claims.
• Communicate effectively across onboard and offboard SWE, Test Operations, and Leadership  to present risks and requirements effectively.

About You

• Bachelor’s Degree, Master’s Degree, or Doctoral Degree in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or related field.
• Strong algorithmic problem solving skills and coding (preferably Python or C++) experience to implement scalable solutions.
• Experience with designing  simulation-based evaluation suites and scenarios  for testing autonomous vehicles using well-defined metrics to score good behavior.
• Experience developing collision-type metrics, data analytics, evaluation tooling, or CICD test pipelines to quantify robot performance in test environments.
• Highly collaborative in nature with strong abilities to think and communicate analytically and effectively, both verbal and written.
• Self-starter and fast learner - you should be passionate about picking up new skills and approaching unstructured problems from first principles while prioritizing and managing workload to meet critical project deadlines.
• 5+ years of technical work experience in a relevant area, of which 3+ years should be in robotics SW.
• Working knowledge of and ability to apply systems engineering concepts of requirements, verification and validation.

Nice to have

• Experience with developing collision metrics for self-driving vehicles.
• Experience with structured or physical testing of robots or vehicles.
• Experience writing safety claims and system requirements for SAE L3/L4 systems to operate safely.
• Hands-on experience with STPA and ISO 21448.

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $176,400 and $264,600 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.

About the Role

As a Senior/Staff Software Engineer working on driving behavior verification, you are responsible for implementing metrics that evaluate the end-to-end behavior of the Nuro Driver. These metrics will be used to quantify the safety of the driving behavior in our target ODD. This requires prior experience with the development or verification of behavior planning/prediction systems for robots, and a collaborative nature to work closely with a variety of teams across Nuro: Systems, Onboard Software, Simulation, Product, and Operations.

About the Work

• Develop and implement in Python generalizable metrics to verify the driving behavior of an autonomous vehicle.
• Leverage a combination of machine learning (ML) models and safety metrics from literature to evaluate the end-to-end driving behavior.
• Evaluate these metrics on a variety of tests: synthetic and log simulation, on-road logs, closed-course testing data, and third-party accident reconstructions.
• Collaborate closely with Systems, Behavior, Perception, Data Science, Product, Legal and Public Trust teams to develop acceptance criteria for metrics and tests.
• Partner with simulation infrastructure and test integration teams to set up automated verification workflows.
• Generate detailed performance and validation reports to prove that the behavior of the autonomous system is safe to deploy in our target Operation Design Domain (ODD).

About You

• 5+ years of technical work experience in a relevant area with 3+ years of experience with software development.
• Hands-on software experience, with the ability to code proficiently in Python or C++.
• Bachelor’s Degree or Master’s Degree in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or related field.
• Strong understanding of robotic systems architecture - how sensing, localization, perception, prediction, behavior, and control modules interact.
• Familiarity with simulation and real-world testing of autonomous systems.
• Highly collaborative in nature, with strong abilities to think and communicate analytically and effectively.

Bonus Points

• Background in autonomous vehicles ideally with developing software for L4 autonomous. 
• Prior experience building computational models for driving behavior or ML based metrics for behavior evaluation.

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $176,400 and $319,720 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future.

About the Role

As a Senior/Staff Systems Engineer working on Autonomy Verification, you are responsible for verifying that the Nuro Driver is safe to deploy in our target ODD and complies with the rules of the road. This requires prior experience with the development or validation of autonomous systems, and a collaborative nature to work closely with a variety of teams across Nuro: Autonomy Software, Simulation, Product, and Operations. You will have end-to-end ownership from requirements definition, metrics design, and test strategy development.

About the Work

• Create requirements for an autonomous system, ensuring safe operation within its ODD and compliance with the rules of the road. 
• Design generalizable metrics and acceptance criteria to verify that the autonomous system satisfies these requirements, leveraging safety standards and methodologies.
• Propose and leverage diverse test strategies - synthetic and log simulation, on-road logs, closed-course testing, third-party accident reconstructions - to verify requirements.
• Collaborate closely with Behavior, Perception, Data Science, Product, Legal, and Public Trust teams to develop acceptance criteria for metrics and tests.
• Partner with simulation infrastructure and test integration teams to set up automated verification workflows.
• Quantify coverage of the tests for our ODD, ensuring simulation realism and relevance for deployment. Link the results from the tests as evidence to support the Autonomy Safety Case.

About You

• 5+ years of technical work experience in a relevant area with 3+ years of experience with development or validation of autonomous vehicles/robotic systems.  
• Experience creating behavior requirements for SAE L2, L3, or L4 autonomous systems  or other robotic systems to operate safely within its ODD.
• Experience with simulation and real-world testing of autonomous systems.
• Strong understanding of the autonomy architecture - how sensing, localization, perception, prediction, behavior, and control modules interact.
• Hands-on software experience, with the ability to code in Python or C++.
• Highly collaborative in nature, with strong abilities to think and communicate analytically and effectively.

Bonus Points 

• Background in autonomous vehicles ideally with L4 AV deployment.
• Prior experience building computational models for driving behavior or ML based metrics for behavior evaluation.
• Familiarity with safety standards and methodologies like STPA, ISO-21448, ISO 8800.
• Experience developing a safety case or compiling evidence supporting a safety case in a structured manner.

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $176,400 and $319,720 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP