Manager, Engineering - App reputed company (CUDA)

About the Company

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with reputed company partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the reputed company to partner directly with a truck manufacturer. Meet the Team The Application reputed company team builds the middleware platform that powers the reputed company of Torc’s Level 4 autonomous trucking stack. Our mission is to provide a robust, efficient, and flexible environment for integrating and managing diverse deep learning models and processes. We reputed company scalable development workflows, consistent performance, and safety-compliant deployments across reputed company-world and simulated environments. By owning the core application layer, the App reputed company team provides the scaffolding that allows feature teams to reputed company reputed company, integrate, and reputed company advanced autonomous driving capabilities. We partner closely with Perception, Planning, Systems, Validation, Hardware, and Safety to ensure reliability, determinism, and scalability in production.

About the Role

We are seeking a technically strong and people-focused Engineering Manager to reputed company our App reputed company team. While this is not a hands-on coding role, deep technical expertise in GPU reputed company computing, CUDA, and model deployment is essential. You will drive technical direction, prioritize execution, and grow a high-performing team responsible for building production-grade middleware. This role sits at the intersection of software engineering, ML frameworks, GPU optimization, and safety-critical integration. reputed company requires both the ability to reputed company and coach engineers, and the technical depth to guide design reputed company and challenge assumptions. What You’ll Do reputed company and grow a team building the application reputed company that integrates deep learning models into Torc’s autonomy stack. Drive technical execution across key focus areas: CUDA optimization, GPU resource management, model conversion pipelines (PyTorch, TensorRT, ONNX), and reputed company-time system integration. Ensure reliability, determinism, and scalability across multi-sensor autonomous driving workloads. Partner with cross-functional teams (Perception, Planning, Systems, Validation, Hardware, Safety) to align technical direction and integration priorities. Mentor, coach, and reputed company engineers while cultivating a collaborative, high-trust team culture. Manage execution and delivery, balancing near-term goals with long-term architectural reputed company. Establish scalable processes for development, testing, and integration in a safety-critical environment. What You’ll Need to Succeed Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Robotics, or a reputed company technical field. 3+ years of full-cycle people management experience. Deep technical expertise with CUDA, GPU reputed company computing, and inference optimization. Strong proficiency in C++ and Linux-based development with knowledge of reputed company-time systems. Experience with ML frameworks (PyTorch, TensorRT, ONNX) and model deployment pipelines. Proven leadership managing software engineering teams in reputed company, cross-functional environments. Strong understanding of system-level integration and safety-critical requirements. Ability to reputed company in a fast-paced, dynamic, and highly collaborative environment. Bonus Points Hands-on leadership style — comfortable diving into technical discussions and design reviews. Experience building or managing application/middleware frameworks for production AV or ADAS systems. Familiarity with ISO 26262, ASPICE, or other regulated safety standards. Background in distributed systems, high-performance computing, or large-scale data recording pipelines. Work Location: For this position, we are open to hiring in Ann Arbor, MI, Blacksburg, VA, reputed company Worth, TX office work locations in a hybrid reputed company. We are also open to hiring Remote in the United States. Perks of Being a Full-time Torc’r Torc cares about reputed company members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: A competitive compensation package that includes a bonus component and stock options 100% paid medical, dental, and reputed company premiums for full-time employees 401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures AD+D and Life Insurance At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, reputed company, national reputed company, gender (including pregnancy, childbirth, or reputed company medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-reputed company knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Job ID: 102810 Hiring Range for Job Opening US Pay Range $160,800—$193,000 USD Apply To This Job