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Design, build, and maintain Python-based services and AWS data pipelines to compute and validate autonomy performance metrics. Translate system-level safety requirements into production implementations, process telemetry and validation data, implement release validation logic, debug pipeline and telemetry issues, and contribute to workflow orchestration, code reviews, and cross-functional design.
About the Role
Torc is developing Level 4 autonomous semi-truck software to transform how freight moves across the world. As a Senior Software Engineer on the Metrics for Release (MFR) team, you will play a key role in translating business and system requirements into production-ready software that evaluates autonomy performance and supports release readiness.
This role will work across the entire MFR ecosystem, partnering with requirements and systems teams to take high-level safety and performance goals (SPI requirements) and turn them into scalable, reliable pipelines and services.
Your work will directly impact how we measure, validate, and ultimately ship autonomy safely at scale.
What You’ll Do
Torc is developing Level 4 autonomous semi-truck software to transform how freight moves across the world. As a Senior Software Engineer on the Metrics for Release (MFR) team, you will play a key role in translating business and system requirements into production-ready software that evaluates autonomy performance and supports release readiness.
This role will work across the entire MFR ecosystem, partnering with requirements and systems teams to take high-level safety and performance goals (SPI requirements) and turn them into scalable, reliable pipelines and services.
Your work will directly impact how we measure, validate, and ultimately ship autonomy safely at scale.
What You’ll Do
- Translate SPI and system-level requirements into technical designs and production implementations.
- Build and maintain Python-based services and AWS data pipelines supporting metrics and validation workflows.
- Work closely with requirements, systems, and validation teams to ensure accurate implementation of safety and performance metrics.
- Process and analyze vehicle telemetry and validation data to produce meaningful system signals.
- Implement release validation logic tied to automated testing and evaluation pipelines.
- Debug and resolve issues across data pipelines, telemetry flows, and metric computation systems.
- Contribute to workflow orchestration and automation systems (Temporal or similar).
- Participate in design discussions, code reviews, and continuous improvement of engineering practices.
What You’ll Need
- Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Robotics, Electrical Engineering, Mechanical Engineering, Systems Engineering, or related field plus 6+ years of relevant experience, OR Master’s degree & 3+ years, OR PhD & 1+ years.
- Strong Python development experience.
- Strong experience working with AWS (S3, Lambda, ECS, Step Functions, etc.).
- Experience building or maintaining data pipelines or backend systems
- Ability to take ambiguous or high-level requirements and translate them into working software.
- Experience debugging complex systems using logs, telemetry, and data.
- Strong problem-solving skills and ability to work cross-functionally.
Nice to Have
- Experience with Temporal or similar workflow orchestration tools.
- Experience working with telemetry, event data, or time-series datasets.
- Automotive or autonomous systems experience.
- Experience building validation, metrics, or release-related systems.
- Exposure to safety-critical or high-reliability environments.
Hiring Range for Job Opening
US Pay Range
$160,800—$193,000 USD
Torc Robotics Austin, Texas, USA Office
3711 South Mopac Expy, Austin, TX, United States, 78746
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
