Role Summary
We are seeking a Tech Lead Manager (TLM) to lead the evolution and scaling of our perception systems. You will guide a dedicated team in developing and deploying robust machine learning models that enable our vehicles to understand their environment. This role involves cross‑functional collaboration, architecting solutions, and driving the technical roadmap to advance our perception technologies.
Responsibilities
As a member of our Autonomy organization, you will guide the strategy, architecture, and deployment of machine learning models for our vehicle’s perception. These models support autonomous driving features and in‑vehicle experiences by enabling environmental understanding. Your work will directly impact the core functionalities of our autonomous systems.
Key Areas of Impact
- Technical Strategy & System Architecture: Define and drive the technical vision, architecture, and scaling roadmap for perception systems, ensuring they meet autonomous driving demands and champion new technologies
- Perception Model Lifecycle Management: Lead the end‑to‑end development of scalable ML models for critical perception tasks (object detection, tracking, scene understanding, mapping), including MLOps, data pipelines, and optimization for robust onboard deployment
- Team Leadership & Mentorship: Build, mentor, and lead a high‑performing team of machine learning engineers, fostering a culture of innovation, technical excellence, and continuous improvement
- Cross‑Functional Collaboration & Integration: Partner effectively with teams across the autonomy stack (e.g., prediction, planning, simulation, hardware, ML infrastructure) to deliver seamlessly integrated and high‑performing autonomous features
Qualifications
- MS or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field
- Experience (typically 8+ years post‑graduation) in machine learning, computer vision, or robotics, with significant work in perception for autonomous systems
- Experience (typically 3+ years) in a technical leadership or management role, leading engineering teams on complex projects
- Technical depth in machine learning, deep learning architectures (e.g., CNNs, Transformers), and computer vision algorithms
- Experience developing and deploying perception algorithms (e.g., object detection, segmentation, tracking, SLAM, multi‑sensor fusion) in real‑world applications
- Proficiency in Python and C++
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and MLOps tools/platforms
- Communication, interpersonal, and collaboration skills for working in a dynamic, cross‑functional environment
Equal Opportunity
Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.
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