From the code to the road, autonomous vehicle leader Torc Robotics relies on a commitment to technical and personal excellence when developing the software tools that will lead to a safer tomorrow. Guided by its three core values of “hungry, humble and people smart,” the early adopters of driverless technology recognize that technical prowess is only part of the equation. “What excites me most about working at Torc is the value add we have on saving lives,” said Engineering Manager Akila Panneerselvam, whose work focuses on vision algorithm development and machine learning. “We aren’t just working on fascinating technology and tools. Even though we’re in artificial intelligence, our work has a real impact on human life.”
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Artificial Intelligence • Automotive • Robotics • Software • Transportation
Lead the release lifecycle for self-driving software, coordinating engineering, product, fleet, V&V, and safety stakeholders. Manage release trains, Git branching and tagging, impact analysis, release artifacts, configuration baselines, audits, approvals, documentation, and release meetings. Improve release processes, mentor team members, and support production systems from prototype through launch and field maintenance in complex, safety-critical environments.
Artificial Intelligence • Automotive • Robotics • Software • Transportation
Lead functional safety and SOTIF activities for autonomous trucking systems. Responsibilities include hazard analysis and risk assessment, FTTI evaluation, inductive and deductive safety analyses, safety case development, safety performance tracking, artifact reviews, and alignment of safety processes with systems engineering teams. The role requires expertise in ISO 26262, ISO 21448, HAZOP, FMEA, STPA, FTA, and safety-critical autonomous technologies, with occasional travel of 10% or less.
Artificial Intelligence • Automotive • Robotics • Software • Transportation
Supports engineering quality assurance across autonomous driving systems and software development. Reviews work products, requirements, verification evidence, traceability, baselines, and release artifacts for completeness and compliance. Performs assessments against QMS and safety standards, documents risks and nonconformities, supports audits and corrective actions, monitors quality metrics, and guides cross-functional engineering teams on process adherence and continuous improvement.
