Jobs at Avride

Own autonomous-vehicle safety testing across QA gates, acceptance criteria, reporting, release decisions, and evidence generation. Define and calibrate safety thresholds, classify findings, connect hazard analyses to scenario coverage, coach QA engineers, validate metrics, translate safety frameworks into testable requirements, and track applicable regulations. The role requires influencing cross-functional teams, documenting residual risk clearly, and supporting safety cases and regulatory readiness.

Operate autonomous rideshare vehicles safely on public roads while transporting passengers, monitoring vehicle performance, conducting safety checks, collecting operational data, and reporting system feedback. Drivers must maintain alertness, follow traffic laws, respond appropriately to hazards and unexpected events, communicate professionally with riders and team members, and work in varying weather and road conditions.

Owns quality acceptance and release qualification for analytical metrics used in autonomous-driving software decisions. Responsibilities include defining comprehensive case spaces, identifying silent failures, reviewing implementations, creating test data, building regression tests, quantifying defects, and communicating evidence-based fixes. The role requires strong Python and SQL, statistical literacy, product judgment, and experience testing data-heavy systems. Autonomous vehicles, robotics, ML evaluation, ClickHouse, A/B testing, and annotation experience are preferred.

Develop and maintain CI/CD pipelines, hardware-in-the-loop systems, firmware deployment tools, diagnostics, and embedded-system testing infrastructure. Collaborate with hardware and software teams on system architecture, monitor infrastructure performance, resolve firmware development issues, and improve build, test, and deployment workflows for autonomous vehicles and robots.

Lead ML infrastructure engineer owning GPU inference performance for onboard real-time and high-throughput offboard systems. Improve and maintain C++ inference framework, optimize GPU execution, collaborate with applied ML teams, and expand ownership across ML pipelines and distributed infrastructure.

As a Senior C++ Engineer, you'll design and implement simulation infrastructure, ensure accuracy and efficiency of runs, and collaborate with teams for integration and performance analysis.

The Machine Learning Engineer will develop and optimize models, manage datasets, enhance training pipelines, and collaborate across teams to innovate in autonomous vehicle technology.

Develop and maintain the software framework for autonomous vehicle autopilot systems, focusing on performance, safety, and reliability, while implementing automated testing processes.

The Accountant will manage accounting operations, including journal entries and accounts payable, and support month-end close processes.

Develops motion planning algorithms, collaborates with engineering teams, and optimizes performance for autonomous vehicle decision-making.

As a Senior Frontend Engineer, you will develop low-latency interfaces for autnomous vehicle control, optimizing for performance and integrating real-time data.

As a Machine Learning Engineer, you will design, train, and deploy ML models for motion planning, develop data pipelines, and integrate models for real-time use in autonomous vehicles.

Lead development of Avride's control system by architecting and shipping Model Predictive Control (MPC) solutions in modern C++, identifying vehicle dynamics parameters from real-world data, profiling for real-time performance, and providing technical leadership, code review, and mentorship to a small controls team while aligning with Planning and Hardware.

The Site Infrastructure Engineer will build and maintain server and network infrastructure for autonomous vehicle operations, ensuring high performance and reliability.

Analyzes autonomous-vehicle data and driving scenarios to validate dataset quality, identify edge cases and coverage gaps, monitor quality metrics, and investigate anomalies. Reviews annotation batches, maintains dashboards and reports, and automates validation and testing workflows using Python, Pandas, and ClickHouse. Collaborates with product and engineering teams to improve annotation efficiency, testing processes, and data quality.

Build and architect React/TypeScript web applications powering internal engineering tools (simulation, fleet tracking). Collaborate with simulation, analytics, and ops teams to integrate systems, shape APIs, and deliver performant, reliable UIs that enable diagnostics, scenario mining, and fleet configuration.

As a Safety Performance Analyst, you'll review and classify safety-critical events from autonomous vehicle data, enhance safety frameworks, and communicate findings to teams. Your role includes using Python and SQL for data analysis and reporting.

Own and architect the top-level safety case for autonomous vehicles, decompose claims and required evidence against UL 4600 and aligned standards, coordinate cross-pillar evidence production, maintain traceability tooling, prepare for third-party assessments, and report safety case maturity and gate readiness to leadership.

Own quality and delivery of HD maps by interpreting imagery and sensor data to extract and verify road features, triaging map requests, investigating field issues, defining map format and quality criteria, and improving mapping workflows.

The Senior Brand Designer will develop and maintain Avride's visual identity, design marketing materials, uphold design standards, and collaborate on campaign concepts. They will influence visual communication for a tech-focused brand.