Jobs at Torc Robotics

Lead product definition and roadmaps for autonomy systems with an initial focus on mapping and localization. Translate customer and engineering needs into requirements, prioritize backlogs, analyze map quality and coverage gaps, coordinate cross-functional stakeholders, and drive product delivery and demos while ensuring safety and regulatory alignment.

Lead a team of release managers to coordinate and execute software and system releases for autonomous driving products. Oversee release trains, impact analysis, Git branching/tagging, configuration management, release artifacts, cross-team coordination, resource planning, risk mitigation, and people management to deliver production-quality releases.

Design and build BI solutions and dashboards to surface KPIs and drive decisions. Partner with stakeholders to define metrics, extract and model data (SQL/Python), automate reporting, validate data quality, and provide ad-hoc analysis and predictive insights to leadership.

Lead architecture, design, and implementation of core autonomy frameworks (state management, inter-component comms, abstractions). Drive C++ real-time architecture, CI/build/test strategies, observability, and simulation/validation frameworks. Collaborate with Behavior and Perception teams, mentor engineers, run design/code reviews, and improve platform reliability, performance, and production readiness.

Design, develop, and deploy production 3D and BEV perception ML models for autonomous trucks. Own end-to-end model lifecycle from data prep, training, evaluation, and deployment. Improve model robustness, performance, and generalization across sensor modalities. Integrate models with autonomy software, enhance training pipelines and tooling, analyze failures, and mentor junior engineers.

Lead a team of Quality Assurance engineers to maintain and improve Torc's QMS for autonomous driving products. Drive audits, root-cause analysis, configuration management, and cross-functional collaboration to ensure compliance with safety, cybersecurity, and regulatory standards. Hire, develop, and manage team members while sponsoring quality initiatives and delivering release artifacts and traceability.

Design, implement, and optimize C/C++ drivers and integrations for sensors (PCIe, DMA, Ethernet, CAN). Maintain builds, CI/CD, and test tooling; improve real-time performance and memory usage in multi-threaded embedded Linux systems. Troubleshoot across hardware, networking, and software; integrate third-party/open-source components; document designs and mentor junior engineers.

Own and drive vehicle electrical architecture for the AD-Kit system, author and analyze technical requirements, collaborate with stakeholders, support bring-up, testing, validation and integration of embedded computes, sensors, data logging and power systems, and perform root-cause analysis during design, prototype, and production.

Design, build, and maintain HiL test benches and automated test frameworks to validate autonomous driving software. Define and execute system-level test strategies and V&V aligned with safety standards (ISO 26262), integrate hardware and software components, analyze results, debug system issues, and collaborate cross-functionally to support perception, sensor fusion, and vehicle control validation.

Serve as a strategic HR partner to leaders, advising on talent management, performance, org design, employee relations, investigations, succession planning, compensation, change management, and HR analytics to align people strategies with business goals.

Design and execute statistically rigorous analyses to quantify and inform safety and risk for autonomous driving systems. Apply Bayesian and frequentist methods (and ML where appropriate) to large, noisy or rare-event datasets, produce production-ready monitoring workflows, and communicate findings to engineers, safety stakeholders, and executives to support risk-based decision making.

Build and maintain production CI/CD, build tools, and infrastructure for safety-critical AV software. Develop scalable automation, participate in on-call rotations, troubleshoot incidents, write tests, documentation, and collaborate across teams to improve release velocity and reliability.

As a Systems Engineer I on the Test Automation team, you will develop automated validation systems for software releases, focusing on HIL systems. Responsibilities include maintaining test frameworks, debugging issues, and contributing to automation improvements within the software development lifecycle.

Develop and deliver production-ready 3D and camera-based perception ML models (BEV emphasis). Own model training, evaluation, debugging, and integration into autonomy systems. Improve training pipelines, tooling, and robustness; lead small technical initiatives and mentor junior ML engineers while collaborating cross-functionally to deploy perception models at scale.

Lead product cybersecurity architecture for autonomous vehicle systems: define and evaluate controls (OS, networking, cryptography), conduct threat modeling and verification activities, embed security into development lifecycles, liaise with vendors, and present cybersecurity evidence for product releases.

Lead design and deployment of offline 3D reconstruction, lane-line detection, and automatic mapping pipelines from multi-sensor logged data. Develop pose estimation, sensor fusion, and perception models; implement MLOps, data ingestion/curation, and quality measurement. Serve as project lead, mentor engineers, and define analytics and ML standards to scale auto-labeling and map creation.

Build, deploy, and operate large-scale automated event-tagging and data pipelines for autonomous vehicle logs. Own CI/CD with GitHub Actions, Databricks processing, and AWS infrastructure as code. Integrate and productionize ML tagging models, monitor data quality and pipeline health, and troubleshoot performance, reliability, and cost at scale.

Lead a release pipelines team building automation to produce cohesive releases of safety-critical embedded software. Own build automation, high-speed build systems (Bazel, BuildStream), workflow automation (Temporal), packaging performance, release candidacy workflows, and integrations with tracking systems and hardware test platforms. Define roadmap for build infrastructure, ensure secure Debian-based distribution and containerized delivery, and hire/develop engineers.

Lead architecture and implementation of motion planning, trajectory generation, and optimization for autonomous trucks. Provide multi-team technical leadership, design production-quality C++ planning software, integrate with controls and perception, validate via SiL/HiL/ViL, and support on-vehicle debugging, deployment, and performance optimization to deliver safe, reliable autonomy at scale.

Design, implement, test, and maintain scalable C++ software for autonomous vehicle and perception systems. Work across full SDLC, support vehicle testing, simulation-based regression, data acquisition/analysis from remote vehicles, root-cause analysis, and mentor engineers while collaborating with ML researchers and cross-functional teams.