Jobs at Avride

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.

Design, develop, and maintain low-latency device drivers and sensor pipelines for cameras, LiDAR, radar, IMU, GNSS and other sensors. Implement timestamping, filtering, preprocessing, and sensor-health analysis. Collaborate with embedded, perception, and localization teams to integrate and debug hardware/software, optimize performance, and act as the sensor-domain expert guiding solutions and troubleshooting.

Develop and implement on-board localization and cloud mapping algorithms, optimizing rover localization accuracy and cloud mapping processes in challenging environments.

The ML Platform Engineer will build scalable architecture for ML training workloads, optimize system performance, and collaborate with teams for enhanced efficiency on Kubernetes.

Own and harden on-board networking and Linux platform for autonomous vehicles: design fault-tolerant internal networks, implement PTP/gPTP time synchronization, tune Linux networking (NIC buffers, offloads, NAPI), build connectivity daemons (Go/Python) for multi-carrier cellular bonding, integrate networking with embedded Linux on x86_64 and ARM64, and build observability for fleet connectivity.

Lead and optimize U.S. HR Operations including HR systems, payroll, benefits, compliance, employee records, performance management, workforce planning, and HR analytics to support scalable growth and a positive employee experience.

Lead analytics for autonomous driving evaluation: define metrics, integrate simulation and on-road data, design and run experiments with rigorous statistics, build automated analysis pipelines, and hire and mentor analysts while partnering with engineering teams.

As a Simulation Backend Engineer, you'll design and optimize backend systems for distributed simulation workloads, ensuring high efficiency and reliability.

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 QA Engineer will design and execute testing plans for autonomous driving software, analyze test scenarios, and document outcomes. Collaboration with cross-functional teams is crucial for improving test processes and safety metrics.

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.

Support high-volume, project-based onsite hiring by greeting candidates, managing interview schedules and paperwork, tracking assessments and uploading documentation, coordinating handoffs with hiring managers, and maintaining a professional candidate experience.

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.