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Software Engineer, Autonomous Systems

46 minutes ago
United States
Full-time
Mid Level
Software Engineer
Software Development
C++ Linux Machine Learning Microservices Rust
Apply Now
Lever

Lever

Lever is a leading Talent Acquisition Suite that provides modern hiring and talent management solutions. Their applicant tracking system (ATS) with candidate relationship management capabilities empowers hiring teams to streamline recruiting efforts an...

Professional Services
251-1K
Founded 2012
$123M raised
View All Jobs 5

Description

  • Contribute to the design, implementation, and optimization of software across the autonomy stack, with emphasis on real-time on-vehicle systems.
  • Help build and improve on-vehicle data logging and recording systems.
  • Contribute to the hermetic build and cross-compilation pipeline for on-vehicle compute platforms and related components.
  • Instrument, profile, and improve end-to-end system performance, including IPC latency, compute throughput, and disk I/O.
  • Write tests and support CI improvements to improve system reliability.
  • Contribute to integrations across on-vehicle, cloud, and fleet-facing systems, including remote data pipelines, over-the-air updates, and connectivity.
  • Work on adjacent engineering tasks as needed, including firmware-facing integrations, developer tooling, cloud services, and internal web applications.
  • Collaborate with ML and controls engineers to integrate their work into the real-time on-vehicle stack.

Requirements

  • BS or MS in Computer Science, Electrical Engineering, Robotics, or a related field, or equivalent industry experience.
  • Strong proficiency in Rust or C++.
  • Experience shipping low-latency, concurrent software on Linux.
  • Familiarity with real-time scheduling, inter-process communication, synchronization primitives, and debugging latency-sensitive concurrent systems.
  • Experience contributing to Linux systems software, hardware-adjacent infrastructure, sensor/compute platform bring-up, or similar close-to-hardware systems.
  • Eligible to work in the United States.
  • Experience with software for autonomous vehicles, mobile robots, or other safety-critical systems (preferred).
  • Hands-on work with sensor integration (preferred).
  • Experience with GPU-accelerated compute or productionizing AI models, including quantization, optimization, or deployment (preferred).
  • Experience with low-latency IPC, shared-memory transport, or high-throughput pub-sub systems (preferred).
  • Familiarity with cloud infrastructure, networking, or vehicle-to-cloud data pipelines (preferred).
  • Experience with Bazel or other hermetic build systems (preferred).
  • Experience with cross-compilation, packaging, or deployment for Linux-based systems (preferred).
  • Comfort working as a software generalist across systems boundaries (preferred).
  • Comfort working on a small team with high ownership, low ego, and fast iteration (preferred).

Benefits

  • Base salary plus benefits and equity compensation.
  • Salary determined by role, level, location, qualifications, skills, and experience.
  • Equal opportunity employer consideration for all qualified applicants.
  • Consideration of applicants with arrest and conviction records in a manner consistent with local ordinances.
  • AI-assisted interview review with human oversight and the option to opt out in some cases.

Interested in this position?

Apply directly on the company website

Apply Now

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