Fluency in Python and familiarity with data processing libraries like NumPy and Pandas.
Proven backend development experience and system architecture leadership.
Deep understanding of ML or Perception topics.
Responsibilities
Build and manage a high-performing team for data and evaluation pipelines.
Provide mentorship and career development for team members.
Define team goals and align them with company objectives.
Collaborate with ML engineers to troubleshoot and optimize workflows.
Lead design and code reviews to ensure high-quality standards.
Foster cross-functional collaboration across the organization.
Benefits
Medical, dental, and vision insurance.
401k plan with company match.
Health savings accounts.
Life insurance and pet insurance.
Additional benefits may be available.
Full Job Description
What you'll be doing:
Build, lead and manage a high-performing team in the creation, maintenance, and optimization of our internal data, training, and evaluation pipelines specific to perception modelling team.
Provide technical guidance, mentorship, and career development opportunities to team members
Define team goals, priorities, and roadmap in alignment with company objectives
Work closely with ML engineers to proactively identify and resolve technical challenges , while also contributing directly to the implementation of those improvements. This includes troubleshooting and optimizing machine learning workflows for maximum efficiency and performance, architecting and executing cutting-edge technologies/methodologies for accelerating ML development end-to-end from concept to deployment & maintenance.
Lead design and code reviews, setting a high bar for quality and ensuring the adoption of best practices.
Foster cross-functional collaboration ensuring alignment with broader organizational goals.
What We're Looking for:
7+ years of professional software engineering experience, with at least 3+ years in a formal or informal leadership or mentorship role.
2+ years of experience developing, operating, or supporting distributed machine learning training across clusters of GPU nodes.
BS or MS in Computer Science or a related technical field.
A passion for remaining hands-on and a proven ability to contribute high-quality, production-level code to a shared codebase.
Fluency in Python and familiarity with data processing libraries (e.g., NumPy, Pandas)
Proven experience in backend development and leading the architecture of complex systems.
A deep understanding of ML or Perception topics to strategically guide pipelines/tooling.
Demonstrated experience in designing and delivering data visualization tools or internal engineering dashboards that drive insights and action.
Expert knowledge of software engineering principles, with a track record of leading teams in software design, source control management, build processes, code reviews, and testing methods.
Excellent communication and interpersonal skills, with the ability to articulate a technical vision and motivate a team
Bonus Points:
Expertise in concurrency, parallel processing, and database systems to inform architectural decisions.
Experience with distributed computing frameworks like K8s and Ray.
A proven track record of developing and deploying Perception systems for autonomous vehicles or robotics.
A Ph.D. in a relevant field, or equivalent industry experience that demonstrates a commitment to continuous learning.
Proficiency in modern C++ (C++14/17 or later)
Experience with building products with current LLMs and MCP protocols.
Experience with GPU-accelerated data processing.
Familiarity with Pytorch, TensorFlow or other modern ML development platform
Experience in project management and a history of successfully delivering complex technical projects.
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The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
