Top Tech Jobs & Startup Jobs

The Sr. Software Engineer will own the perception data infrastructure for autonomous vehicles, dealing with large 3D datasets and ensuring high data quality for ML models. Responsibilities include architecting core data platforms, optimizing real-time data rendering, and collaborating across functions to enhance engineering efficiency.

Analyze, profile, debug, monitor, and optimize autonomous vehicle software performance. Design and build systems and tools for memory, thread, and process management. Create core libraries/APIs, collaborate across teams on system-level architecture, and drive latency reduction and resource efficiency and best practices.

Design and develop sensor and compute software for autonomous vehicles: device drivers, inter-device protocols, runtime APIs. Ensure reliability via monitoring, automated testing, debugging, vendor collaboration, and cross-functional project leadership.

Design, develop, and maintain sensor and compute systems and device drivers for autonomous vehicles. Architect reliable, high-performance onboard software, debug complex real-time systems, lead cross-functional sensor and compute projects, implement automated testing and metrics monitoring, collaborate with vendors, and mentor engineers.

As Head of Operations, you will lead diverse teams to manage rollouts of autonomous driving technology, ensuring safety, efficiency, and effective operational strategies across multiple geographic locations.

The Senior Program Manager will lead critical programs, working across teams to set goals, track milestones, resolve issues and communicate progress effectively.

Design and develop sensor and compute systems for autonomous vehicles, build hardware-agnostic device drivers and runtime APIs, debug and optimize real-time systems, deploy reliable software with testing and monitoring, lead cross-functional sensor and compute projects, and mentor junior engineers.

Join Nuro as a Senior Software Engineer in Offboard Infrastructure, focusing on building platforms for data management, simulation, and technical services in autonomy technology.

Serve as the day-to-day HR partner for a large, shift-based operations workforce. Manage high-volume employee relations, safety escalations, onboarding, manager coaching, investigations, documentation, and workforce planning while partnering with cross-functional teams to maintain safety and consistency across sites.

Build and improve ML infrastructure and model pipelines for autonomy: optimize models (quantization, pruning, low precision), maintain and profile GPU ML compilers and runtimes, develop a model compiler framework (FTL), and collaborate with autonomy teams to validate and deploy optimized models to fleet vehicles.