Senior Systems Architect - Autonomous Driving & HiL

Torc Robotics

Blacksburg (VA)

On-site

USD 169,000 - 228,000

Full time

7 days ago
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Job summary

Torc Robotics in Blacksburg, VA seeks a Systems Engineering Lead to ensure technical excellence across the Metrics for Release and HiL groups and guide their integration into our self-driving product portfolio.

You will architect scalable platform systems for validating autonomous driving software, orchestrating distributed compute workloads and telemetry pipelines, and mentoring engineers on best practices.

Qualifications

  • Master’s or Bachelor’s in Computer/Mechanical/Robotics/Electrical Engineering or related field with 4–6 years in a systems engineering role.
  • Experience with Jama or Cameo for architecture and requirements management; HiL planning and CI/CD automation.
  • Proficient in Python and C++, ROS; knowledge of CAN-based vehicle networking; ability to work across US teams.

Responsibilities

  • Lead and ensure technical excellence of the Metrics for Release and HiL groups and guide their integration within Torc's self-driving product portfolio.
  • Architect scalable platform systems for validating autonomous driving software, including orchestration of distributed compute workloads, telemetry pipelines, and results delivery to downstream teams.
  • Mentor engineers on systems design, requirements engineering, and best practices; drive KPI reporting and cross-team alignment.

Skills

Systems thinking
Analytical skills
Requirements engineering
Mentoring

Education

Master's degree in a related field
Bachelor's degree in a related field

Tools

Jama
Cameo
HiL
CI/CD automation
Python
C++
ROS
CAN networking

Job description

Torc Robotics in Blacksburg, VA seeks a Systems Engineering Lead to ensure technical excellence across the Metrics for Release and HiL groups and guide their integration into our self-driving product portfolio.

You will architect scalable platform systems for validating autonomous driving software, orchestrating distributed compute workloads and telemetry pipelines, and mentoring engineers on best practices.

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