This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Sensor Calibration team at Torc plays a vital role in ensuring the accuracy and reliability of perception systems across our autonomous vehicle platform. We develop and maintain software tools and algorithms that calibrate and validate multi-modal sensors including cameras, Lidar, and IMUs—both in simulation and on real vehicles. Our work directly supports the safety, performance, and robustness of autonomous driving capabilities. - Design and implement scalable sensor calibration pipelines in Python and C++, leveraging OpenCV, ROS, and linear algebra libraries for real-time and offline calibration. - Develop tools to perform and automate camera intrinsic calibration, Lidar-to-camera, and IMU-to-camera extrinsic calibration. - Apply mathematical rigor using Lie groups, quaternions, and 3D transformations to support accurate calibration and registration. - Build and maintain simulation tools and data pipelines for sensor modeling and calibration validation. - Work closely with perception, simulation, and platform teams to ensure calibration accuracy across hardware configurations and software versions. - Utilize Docker, Bazel, and Git to develop reproducible, containerized calibration workflows integrated into CI/CD pipelines. - Debug sensor alignment issues in vehicle logs and simulation using ROS tools, rviz, and custom visualizers. Qualifications - Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering, or a related field with 6+ years of experience (or a Master’s Degree with 4+ years of experience). - Proficiency in Python and C++ for tool development and algorithm implementation. - Experience with OpenCV, ROS, and numerical libraries for computer vision and robotics. - Experience working with sensors and sensor data across multiple modalities. - Strong understanding of camera intrinsic/extrinsic models, sensor alignment, and coordinate frame transformations. - Familiarity with Lidar, IMU, and multi-sensor calibration, especially in robotics or autonomous systems. - Solid grasp of 3D geometry, non-linear optimization, and matrix math, including SE(3) and SO(3) representations. - Comfort working in Linux development environments, using Git, Docker, and command-line tools. Requirements - Experience with Rust or interest in learning it for high-performance tooling. - Familiarity with non-linear least squares solvers (e.g., Ceres, g2o). - Background in sensor simulation for synthetic data generation and validation. - Contributions to ROS-based open-source calibration tools. - Uses vim as a primary editor (yes, really). - Willingness to travel on occasion. Benefits - A competitive compensation package that includes a bonus component and stock options. - 100% paid medical, dental, and vision premiums for full-time employees. - 401K plan with a 6% employer match. - Flexibility in schedule and generous paid vacation (available immediately after start date). - Company-wide holiday office closures. - AD+D and Life Insurance. Work Location For this position, we are open to hiring in Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.

Role Description We are building the next generation of AI-powered customer service, and our flagship deployment is with one of the world's largest enterprises in the building materials sector. This is a rare, high-impact role at the intersection of enterprise consulting and hands-on AI product building. As our Software Engineer, AI Solutions, you will own the full client engagement lifecycle for an AI voice agent rollout in Sydney: - Earning executive trust in the boardroom - Configuring conversation flows in a technical workshop - Being the face of our product on the ground - Acting as the engine that makes it work This is not a traditional consulting role, and it is not a pure engineering role. It is a hybrid builder-consultant who can translate between business problems and technical solutions and then build those solutions themselves. Qualifications - 2+ years of software engineering experience, with exposure to systems integration, API development, or backend development - Hands-on experience building or integrating software in a professional setting, including working with REST APIs, webhooks, or scripted workflows - Experience working with large enterprise customers and navigating complex stakeholder environments - Familiarity with CRM platforms such as Salesforce, Microsoft Dynamics, or SAP - Experience with AI, automation, contact centres, or voice technology is a strong advantage Requirements - Comfortable designing and troubleshooting API integrations and webhooks - Able to prototype and configure workflows independently without relying on a development team - Working familiarity with conversational AI platforms, prompt design, and basic scripting (Python or JavaScript preferred) - Confident with data mapping and system integration concepts - Ability to write and debug code, own integrations end-to-end, and build independently Benefits - Work on one of the most visible AI deployments in the Australian construction and building materials sector - Rare opportunity to be both the strategic consultant and the technical builder on a flagship account - Direct line of sight from your daily work to measurable business outcomes - Exposure to a growing portfolio of enterprise AI deployments with a clear path to a senior leadership role - Collaborative, high-caliber team that values craft, ownership, and speed Your First 90 Days - Days 0–30 | Deep Immersion: Spend your first month embedded in the client's operations. Shadow calls, meet every key stakeholder, and map the systems and workflows from the ground up. - Days 30–60 | Build & Pilot: Design the initial conversational flows, configure the voice agent, and integrate it into a test environment. Run a live pilot on a focused set of call types and track performance from day one. - Days 60–90 | Optimize & Expand: Tighten containment rates, reduce handoffs, refine prompts and logic, and expand to additional call categories. Present a 90-day impact report to senior leadership.

• Lead end-to-end architecture for complex mobile projects, decomposing requirements into actionable technical plans. • Contribute to development when necessary, setting standards for code quality and maintainability. • Partner with Product Managers, Designers, Business stakeholders, and cross-functional engineering teams to align technical strategy with business goals. • Conduct code reviews, mentor engineers, and promote best practices in mobile architecture, testing, and modularization. • Evaluate and introduce modern tools, frameworks, and architectural approaches. • Ensure high standards of performance, usability, scalability, and maintainability.

• Drive AI Transformation. • Architect Strategic Platforms. • Maximize Organizational Velocity. • Foster Engineering Excellence. • Deliver Product-Centric Internal Tools. • Optimize Operational Resilience. • Lead Strategic Alignment.