Staff Software Engineer, Autonomous Driving Data Pipelines

United States Digital Space LLC; Sunnyvale (CA); On-site; USD 232,000 - 258,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Benefits

Job summary

United States Digital Space LLC in Sunnyvale, CA is seeking a Staff Software Engineer to architect AV performance frameworks and drive high-velocity data pipelines for autonomous driving research.

You will lead automated evaluation frameworks, optimize data throughput, and develop multi-modal metrics that benchmark autonomous software against safety standards across road and simulation environments. Strong distributed systems and C++/Python skills are essential.

Qualifications

• 8+ years of professional software engineering experience in large-scale data systems or autonomous software stacks.
• Strong expertise in software architecture and distributed computing.
• Proficiency in C++ or Python, and Linux environments, with high-performance software development.
• Ability to employ AI tools and champion efficiency.

Responsibilities

• Design and implement automated software frameworks for benchmarking autonomous systems.
• Architect and optimize high-velocity data pipelines and software stack throughput.
• Develop multi-modal software metrics to benchmark autonomous software against safety standards across road and simulation environments.
• Communicate benefits and limitations of new models and metrics to partner teams.

Skills

Large-scale data systems

Distributed computing

C++ or Python

Linux environments

AI tools

Software architecture

Education

Bachelor's or Master's in Computer Science/Software Engineering

Tools

AWS

GCP

CI/CD pipelines

Linux

Job description

United States Digital Space LLC in Sunnyvale, CA is seeking a Staff Software Engineer to architect AV performance frameworks and drive high-velocity data pipelines for autonomous driving research.

You will lead automated evaluation frameworks, optimize data throughput, and develop multi-modal metrics that benchmark autonomous software against safety standards across road and simulation environments. Strong distributed systems and C++/Python skills are essential.