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Onboard AV Software Engineer

47 minutes ago
United States
Full-time
Senior
Embedded Systems Engineer
Artificial Intelligence and Machine Learning
C++ Embedded Systems IoT Machine Learning Neural Networks Rust
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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

  • Optimize and deploy neural network models for onboard inference using TensorRT and custom CUDA kernels.
  • Profile and reduce end-to-end latency across the autonomous driving stack from sensor ingestion to control.
  • Build and maintain onboard C++ and Rust software infrastructure, including real-time data pipelines, inter-process communication, and hardware abstraction layers.
  • Implement model quantization, pruning, and other optimization techniques to improve throughput on embedded GPU platforms.
  • Collaborate with ML engineers to make models efficient for deployment.
  • Collaborate with vehicle systems engineers to meet real-time safety constraints.
  • Own performance across the full autonomous driving stack.
  • Profile and optimize the entire onboard software pipeline to meet hard real-time deadlines.

Requirements

  • BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field, or equivalent industry experience.
  • Strong proficiency in C++ and/or Rust for performance-critical systems.
  • Hands-on experience with GPU-accelerated computing, such as CUDA, TensorRT, or similar inference optimization toolchains.
  • Familiarity with ML model architectures such as transformers and CNNs, with the ability to reason about computational cost and memory footprint.
  • Eligible to work in the United States.
  • Experience with onboard software for autonomous vehicles, robotics, or IoT/edge devices (preferred).
  • Deep knowledge of CUDA, TensorRT, model quantization, and kernel-level optimization (preferred).
  • Experience with Bazel or similar build systems for complex codebases (preferred).
  • Familiarity with real-time robotic systems (preferred).
  • Experience profiling and optimizing full-system performance on embedded platforms, including CPU, GPU, memory, and I/O (preferred).
  • Comfort operating as an early team member with high ownership, low ego, and fast iteration (preferred).

Benefits

  • Base salary plus benefits plus equity compensation.
  • Salary determined by role, level, location, qualifications, skills, and experience.
  • Equal opportunity employer consideration for all qualified applicants.
  • AI-assisted interview review with a human making the final hiring decision.
  • Applicants may have a legal right to opt out of AI use in the interview process.

Interested in this position?

Apply directly on the company website

Apply Now

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