Principal Software Engineer, Team Lead - Perception Platforms

New

JobgetherAutonomous vehicles

Remote work within the United StatesFull-TimeLead

Salary$240,000–$330,000 USD annual base salary; potential additional compensation through bonuses and/or company equity.

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Job Details

Experience: At least 7 years of professional software engineering experience, including 3 or more years in formal or informal technical leadership, mentoring, or team leadership. At least 2 years of experience developing, operating, or supporting distributed machine learning training across clusters of GPU nodes.
Required Skills: Backend DevelopmentPythonKubernetesNumpyPandasData visualization

Have at least 7 years of professional software engineering experience.
Have at least 3 years of formal or informal technical leadership, mentoring, or team leadership experience.
Have at least 2 years of experience developing, operating, or supporting distributed machine learning training across clusters of GPU nodes.
Hold a bachelor's or master's degree in Computer Science or a related technical discipline.
Be proficient in Python and familiar with data processing libraries such as NumPy and Pandas.
Have extensive backend development experience and experience designing complex software system architectures.
Have a strong understanding of machine learning or perception systems.
Have experience designing and delivering data visualization tools, internal dashboards, or engineering interfaces.
Have expert knowledge of software engineering principles, including source control, build processes, code reviews, and testing methodologies.
Be able to contribute production-level code to shared software projects.
Have experience leading and mentoring engineers and establishing technical direction.
Experience with concurrency, parallel processing, and database systems is a plus.

Build, lead, and manage an engineering team responsible for perception-model data, training, and evaluation pipelines.
Define team objectives, technical priorities, and roadmaps aligned with organizational goals and product needs.
Mentor engineers and support their career development.
Partner with machine learning engineers and research scientists to improve the efficiency, scalability, and performance of ML workflows.
Design and implement production-ready software across shared codebases.
Architect and optimize ML development workflows from data preparation and model training through evaluation, deployment, and maintenance.
Develop and improve large-scale data pipelines for datasets used by on-vehicle and off-vehicle perception systems.
Build evaluation frameworks and visualization tools for dataset distributions, model behavior, system performance, and edge cases.
Advance active learning workflows that identify and incorporate high-value data.
Lead technical design discussions, code reviews, testing practices, and engineering standards.

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