Torc Robotics

Technical Product Manager

• As a Technical Product Manager for Autonomy, you will serve as a primary representative planning work for our Autonomy Software development teams to deliver against our corporate milestones.
• You will prioritize asks across short term and long-term programs to develop a plan for autonomy teams to deliver.
• You will manage a backlog for multiple teams, partnering with engineering managers and directors to deliver against program goals.
• You will collaborate with technical and non-technical stakeholders to proactively unblock your engineering teams from delivering on their goals.
• You will leverage best practices in program management to drive execution on a roadmap, including its dependencies, risks, and changes.

Technical Product Manager, II – Autonomy

SDET

• Develop, derive, and maintain detailed vehicle level test cases for autonomous driving functions with a primary focus on functional safety (ISO 26262) and behavioral safety frameworks (SOTIF).
• Analyze and approve requirements, safety goals, safety concepts, and HARA/FMEA outputs to produce traceable, standards‑aligned test coverage.
• Design and support the execution of structured vehicle level test specifications for perception, planning, and control systems—covering edge cases, corner scenarios, environmental variability, and sensor degradation conditions.
• Design and execute post processing scripts to assess pass/fail status of tests with a focus on automated post processing where applicable.
• Lead closed‑course and on‑road evaluations to verify vehicle performance under diverse operational design domain (ODD) conditions.
• Support safety case closure by supplying objective evidence, test results, traceability matrices, and defect documentation.
• Investigate and document anomalies and system defects
• Collaborate with system engineers, perception developers, safety engineers, and human factors teams to propose corrective actions.
• Create clear and comprehensive technical reports, dashboards, and presentations for regulatory audits, internal reviews, and safety case submissions.
• Ensure all testing complies with company safety protocols, regulatory expectations, and industry safety engineering standards.

System Test Engineer – Vehicle

Full-stack Engineer

• Build and maintain Terraform-based infrastructure for AWS services spanning networking, compute, identity, and security
• Contribute to and evolve a multi-account AWS Organization managed with Control Tower and Account Factory for Terraform (AFT), including account vending workflows and organizational guardrails (e.g., SCPs)
• Advance cloud security initiatives, including IAM policy design, least-privilege access patterns, SIEM/security integrations, compliance automation, and posture management
• Design, deploy, and operate shared platforms such as EKS clusters, managed workflow platforms, and hosted application environments
• Maintain and improve CI/CD infrastructure and shared build tooling (e.g., GitHub Actions, Jenkins, Artifact tools) used across the engineering organization
• Contribute to cost analysis, attribution, and efficiency efforts to keep our cloud footprint sustainable
• Participate in the team’s business-hours on-call rotation by triaging alerts and service requests
• Contribute to technical decisions through design reviews, documentation, runbooks, and operational standards

Software Engineer II – Cloud Automation

Data Analyst

• Leads, mentors, and develops a team of safety analysts and engineers, establishing clear roles, responsibilities, and performance expectations across on‑road and simulation‑based safety performance monitoring.
• Provides regular technical review, coaching, and feedback to ensure analyses are statistically sound, methodologically defensible, reproducible, and supported by clear documentation.
• Sets expectations for rigorous problem formulation, appropriate method selection, and defensible interpretation of results, particularly for sparse, noisy, or rare‑event safety data.
• Ensures continuity of knowledge through documentation, peer review, cross‑training, and shared analytical patterns to reduce single‑point dependencies.
• Ensures team outputs are aligned with internal safety policies, safety case strategy, and regulatory expectations, including appropriate use of statistical and risk‑based evidence.
• Applies engineering judgment, informed by an understanding of safety metrics, deployment context, and probabilistic risk estimation, to evaluate the sufficiency of safety performance evidence and residual risk.
• Guides leaders in understanding the strengths, limitations, uncertainty, and assumptions underlying safety performance results.
• Balances analytical rigor with timeliness to support high‑consequence, time‑sensitive decisions, without overstating confidence or masking uncertainty.
• Drive data visualization and reporting strategies that enable both technical teams and executives to quickly understand insights and tradeoffs
• Ensure transparency and traceability through strong documentation, reproducible workflows, and automated reporting (including regulatory artifacts)
• Establishes and oversees requirements and safety metrics including thresholds and targets for safety performance monitoring across on‑road and simulation‑based data sources.
• Ensures performance monitoring approaches appropriately reflect real‑world deployment exposure and evolving operational contexts.
• Governance of continuous analysis workflows that support operational monitoring, milestone gating, and incident response.
• Ensures investigations are unbiased, statistically appropriate, and methodologically sound, including correct treatment of rare events, sparse data, and uncertainty.
• Reviews and challenges analytical assumptions, metric definitions, and risk interpretations to prevent misplaced confidence.
• Guides the team in synthesizing findings across data domains into coherent, defensible safety narratives that connect performance results to risk.
• Communicates complex safety performance results, statistical reasoning, and risk implications clearly and confidently to engineers, executives, and safety governance bodies.
• Represents the team in cross‑functional forums, advocating for analytical rigor, disciplined interpretation of results, and realistic expectations of what performance data can and cannot support.
• Translates uncertainty, assumptions, and limitations transparently, enabling informed decision‑making rather than false confidence.
• Builds trust through consistency, technical credibility, and demonstrated accountability for the quality and integrity of team outputs.

Technical Product Manager, II – Autonomy

System Test Engineer – Vehicle

Software Engineer II – Cloud Automation

Director of Safety Data Analysis