Principal Software Engineer, Team Lead - Perception Platforms
Company: Jobgether
Location: US (Remote)
Salary: $240k - $330k per year
Type: Full-time
Remote: Yes
Posted: 2026-10-20
About this role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Software Engineer, Team Lead - Perception Platforms based in the United States.
The Principal Software Engineer, Team Lead - Perception Platforms will lead the development of critical machine learning infrastructure that enables autonomous vehicles to understand and navigate the world around them. This senior technical leadership role sits at the intersection of ML infrastructure, perception systems, and large-scale data engineering. You will lead a high-performing team responsible for building and optimizing data pipelines, model training workflows, evaluation frameworks, and visualization tools. Working closely with machine learning engineers and research scientists, you will help accelerate development from experimentation through deployment and ongoing improvement. You will shape technical strategy, mentor engineers, and drive engineering excellence while remaining actively involved in production-level coding. This is an opportunity to contribute to advanced autonomous driving technology with the potential to improve transportation safety, accessibility, and reliability.
### Accountabilities
- Build, lead, and manage a high-performing engineering team responsible for developing, maintaining, and optimizing data, training, and evaluation pipelines for perception models.
- Define team objectives, technical priorities, and roadmaps aligned with broader organizational goals and product development needs.
- Provide technical guidance, mentorship, and career development support to engineers, fostering a culture of collaboration, accountability, and continuous learning.
- Partner closely with machine learning engineers and research scientists to identify technical challenges and improve the efficiency, scalability, and performance of ML workflows.
- Contribute directly to the design and implementation of high-quality, produc...