Own pricing engineering end to end, turning business goals into reliable production systems while shaping technical direction for performance, correctness, and measurable outcomes.
Senior / Staff Software Engineer, High-Performance Onboard Algorithms
📜 Description
- Build a high-performance sensor-processing stack with a multidisciplinary team of engineers and scientists.
- Design and optimize algorithms for sensor data acquisition, processing, fusion, and filtering.
- Ship signal-processing software using parallel computing architectures and low-level systems programming.
- Collaborate with autonomy and hardware teams to improve system efficiency and robustness.
🛠️ Requirements
- Fundamentals of computer architecture. You have a deep understanding of how modern computer systems work (multi-core, vector units, cache management, memory hierarchy, networking).
- Data-parallel algorithms. You have experience implementing data-parallel and compute-intensive algorithms in domains such as image/video processing, compression, and optimizing modern neural networks.
- Heterogeneous computing and systems programming. You are comfortable with balancing workloads across multiple different processors, managing the ownership and movement of data buffers, and optimizing for overall system performance.
- Performance profiling and optimization. You know how to identify bottlenecks in a complex codebase and make optimization decisions that have lasting impact.
- Shipping Production Software. You have experience in reading and developing production quality software. You write efficient and maintainable code in a native language such as C++ or Rust (we use Rust and a variety of DSLs).
✨ Benefits
- Equity awards
- Medical coverage
- Dental coverage
- Vision coverage
- Unlimited vacation
- Flexible hours
- Work-from-home support
- Daily drinks, snacks, and catered meals when in office
Full job description
As a Software Engineer in High-Performance Onboard Algorithms, you will be a key contributor to the development and optimization of our real-time signal processing pipeline for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and others) with low latency and high reliability. We value original, high-impact ideas and rigorous experimental validation.
You will…
- Be part of a multidisciplinary team of Engineers and Scientists working on building a best-in-class, high-performance sensor processing stack.
- Design, implement, and optimize highly efficient algorithms for sensor data acquisition, processing, fusion, and filtering, ensuring real-time performance on target hardware.
- Work on shipping next-generation signal processing software, leveraging parallel computing architectures (e.g., CPU, GPU, specialized accelerators) and low-level system programming.
- Collaborate with Waabi’s autonomy and hardware teams to ensure the efficiency and robustness of the entire system.
Qualifications:
- Fundamentals of computer architecture. You have a deep understanding of how modern computer systems work (multi-core, vector units, cache management, memory hierarchy, networking).
- Data-parallel algorithms. You have experience implementing data-parallel and compute-intensive algorithms in domains such as image/video processing, compression, and optimizing modern neural networks.
- Heterogeneous computing and systems programming. You are comfortable with balancing workloads across multiple different processors, managing the ownership and movement of data buffers, and optimizing for overall system performance.
- Performance profiling and optimization. You know how to identify bottlenecks in a complex codebase and make optimization decisions that have lasting impact.
- Shipping Production Software. You have experience in reading and developing production quality software. You write efficient and maintainable code in a native language such as C++ or Rust (we use Rust and a variety of DSLs).
Bonus:
- Experience with accelerated computing like CUDA, Vulkan, and OpenCL.
- Experience with domain specific languages such as Halide, Taichi, Mojo, or Warp.
- Experience with CPU intrinsics (SSE/AVX, NEON/SVE).
- Experience with embedded systems.
- Shipped production software in one or more of the following areas: image and video processing, compression, streaming algorithms, deep learning, geometry processing.
- Publications in top-tier conferences or journals related to high-performance computing, image processing, computer graphics, computer vision, machine learning, or self-driving technology.
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