Avride
Overview
Join to apply for the
Senior C++ Engineer Simulation Infrastructure
role at
Avride . We develop the core simulation infrastructure that powers testing, validation, and debugging of our autonomous driving system. Our simulations are used daily across the company by QA engineers verifying component-level quality, by autonomy engineers investigating unexpected behavior, by ML teams validating new model versions, and by safety analysts and data scientists who analyze thousands of simulated scenarios and metrics to assess system readiness. The simulator is modular and supports both full-system and component-level runs. It operates at scale on distributed compute clusters, enabling us to simulate far more situations than we can cover on the road. About the Role
As a Senior C++ Engineer, youll help design and build the foundational infrastructure behind our simulation system. Youll write high-performance, reliable C++ code that powers critical simulation workflows and collaborate closely with infrastructure and autonomy teams to ensure correctness, reproducibility, and consistency with on-vehicle software. You'll work on challenges such as running multiple versions of autonomy modules within a single simulation to compare behavior across code revisions. Youll also contribute to tools that analyze simulation behavior and performance, while helping keep the system efficient and cost-effective at scale. Responsibilities
Design and implement foundational simulation infrastructure in C++ Ensure simulation runs are correct, reproducible, and efficient Collaborate with platform and autonomy teams to ensure integration and consistency with real-world deployment Lead and contribute to design reviews and cross-team technical decisions Build tools for analyzing performance and debugging system behavior Qualifications
Masters degree in Computer Science or related field, or equivalent experience 5+ years of experience building production-level software Strong proficiency in modern C++ Experience in benchmarking, profiling, and optimizing complex systems Familiarity with large-scale or distributed compute environments Nice to have
Experience using Python for tooling and automation Familiarity with Bazel Background in robotics, simulation, or embedded systems Experience modeling real-world systems (e.g., physics, sensors, agents, environments) Note: Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available. About the Team
We develop the core simulation infrastructure that powers testing, validation, and debugging of our autonomous driving system. Our simulations are used daily across the company: by QA engineers verifying component-level quality, by autonomy engineers investigating unexpected behavior, by ML teams validating new model versions, and by safety analysts and data scientists who analyze thousands of simulated scenarios and metrics to assess system readiness. The simulator is modular and supports both full-system and component-level runs. It operates at scale on distributed compute clusters, enabling us to simulate far more situations than we can cover on the road. #J-18808-Ljbffr
Join to apply for the
Senior C++ Engineer Simulation Infrastructure
role at
Avride . We develop the core simulation infrastructure that powers testing, validation, and debugging of our autonomous driving system. Our simulations are used daily across the company by QA engineers verifying component-level quality, by autonomy engineers investigating unexpected behavior, by ML teams validating new model versions, and by safety analysts and data scientists who analyze thousands of simulated scenarios and metrics to assess system readiness. The simulator is modular and supports both full-system and component-level runs. It operates at scale on distributed compute clusters, enabling us to simulate far more situations than we can cover on the road. About the Role
As a Senior C++ Engineer, youll help design and build the foundational infrastructure behind our simulation system. Youll write high-performance, reliable C++ code that powers critical simulation workflows and collaborate closely with infrastructure and autonomy teams to ensure correctness, reproducibility, and consistency with on-vehicle software. You'll work on challenges such as running multiple versions of autonomy modules within a single simulation to compare behavior across code revisions. Youll also contribute to tools that analyze simulation behavior and performance, while helping keep the system efficient and cost-effective at scale. Responsibilities
Design and implement foundational simulation infrastructure in C++ Ensure simulation runs are correct, reproducible, and efficient Collaborate with platform and autonomy teams to ensure integration and consistency with real-world deployment Lead and contribute to design reviews and cross-team technical decisions Build tools for analyzing performance and debugging system behavior Qualifications
Masters degree in Computer Science or related field, or equivalent experience 5+ years of experience building production-level software Strong proficiency in modern C++ Experience in benchmarking, profiling, and optimizing complex systems Familiarity with large-scale or distributed compute environments Nice to have
Experience using Python for tooling and automation Familiarity with Bazel Background in robotics, simulation, or embedded systems Experience modeling real-world systems (e.g., physics, sensors, agents, environments) Note: Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available. About the Team
We develop the core simulation infrastructure that powers testing, validation, and debugging of our autonomous driving system. Our simulations are used daily across the company: by QA engineers verifying component-level quality, by autonomy engineers investigating unexpected behavior, by ML teams validating new model versions, and by safety analysts and data scientists who analyze thousands of simulated scenarios and metrics to assess system readiness. The simulator is modular and supports both full-system and component-level runs. It operates at scale on distributed compute clusters, enabling us to simulate far more situations than we can cover on the road. #J-18808-Ljbffr