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Develop low-latency C++ software on Linux for GM’s AV stack, interfacing sensors and hardware with the autonomy platform.
The Staff Embedded Software Engineer will design and maintain on-vehicle control and data plane infrastructure to manage vehicle fleets at scale. The role involves optimizing software for resource-constrained ECUs, integrating with cloud services, and mentoring team members.
This early-career role involves developing embedded software for autonomous vehicle data collection, focusing on capturing and processing sensor data for AI training. Engineers will work with C++ and Python on Linux and QNX platforms to ensure high-quality, reliable data delivery from the vehicle fleet.
Lead front-end and API engineering teams at Ford Pro Intelligence, building and scaling connected vehicle services and fleet management solutions using modern JavaScript frameworks, cloud platforms, and microservices architectures.
Leads technical architecture and requirements for Ford’s high-voltage battery management systems (BMS), defining system partitioning, fault handling, communication protocols, and verification strategies across distributed BMS components and interfaces with electrical/thermal/safety systems. Owns ISO 26262 safety and ISO/SAE 21434 cybersecurity compliance, supplier coordination, and technical revie
Software Engineer II at Uber building foundational infrastructure, scalable distributed services, and data pipelines. Core technologies include JavaScript/HTML5/CSS on the frontend and Java or Go on the backend, with relational databases and distributed systems at scale.
Builds scalable software systems for Uber’s mobility platform, resolving production issues and optimizing reliability for millions of users globally. Core work spans distributed systems, debugging, and CI/CD pipelines using languages like C++, Python, and Java.
Software Engineer II on Uber's Data and Storage teams architecting and scaling document workflow platforms (ingestion, fraud detection, extraction, PII-compliant storage) using Go/Java/Python with microservices and event-driven architectures at massive scale.
Data Analyst at Uber driving analytics for autonomous vehicle customer support — designing data models, dashboards, and reporting solutions while partnering with Engineering, Product, and CS teams. Uses SQL, Python/R, and Tableau/Looker.
Develop and maintain C/C++ firmware for STM32/TI/Renesas MCUs, focusing on real-time motor control and CAN-based multi-node robotic systems.
Provide first-level IT support for employees’ devices and software at an electric-vehicle startup, handling helpdesk tickets, asset tracking, and Windows-based deployments.
Develops and integrates software for autonomous robotics systems using ROS 2, C++, and Python, focusing on navigation, manipulation, and system integration.
Senior/Principal Embedded Software Engineer developing embedded C software for off-highway vehicle transmission control systems using V-model processes and functional safety standards.
Senior engineer who designs and maintains C++ build systems, CI/CD pipelines, and robustification tooling for a large robotics codebase, ensuring reliable, reproducible, and traceable software releases.
Software Engineer on a Control Tower team building software to monitor and assist autonomous road freight vehicles, involving end-to-end development with Linux, data streaming, and network protocols.
Associate Product Manager for an autonomous maritime tech company, bridging engineering, operations, and commercial needs to develop cutting-edge maritime autonomy solutions. Owns product areas, collaborates cross-functionally, and supports product roadmaps while training in PM.
Build and maintain robust data pipelines and semantic models using dbt and Power BI, transforming raw data into reliable analytics assets for business decision-making.
Test engineer for NVIDIA’s autonomous vehicle software, writing test suites, analyzing issues from real-world vehicle tests, and collaborating with hardware/software teams to improve driving-system quality.
Lead a team of data scientists at Wayve, turning real and simulated driving data into evals and insights that guide autonomous vehicle development and accelerate engineering progress.
Builds and maintains internal platform infrastructure for autonomous vehicle software development, testing, and deployment, including CI/CD, orchestration, and observability tools.
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