Software Engineer (DSP)

at  Lumotive

Vancouver, BC, Canada -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate18 Jan, 2025USD 120000 Annual19 Oct, 2024N/ASoftware Validation,Git,Communication Skills,Python,Development Tools,Software Development,Docker,Computer ScienceNoNo
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Description:

Company Description
Lumotive’s revolutionary programmable optical semiconductors enhance perception, boost computing power, and ensure robust high-speed communication across various markets.
The award-winning, highly patented Light Control Metasurface (LCM™) chip is the first commercially available software-defined photonic beamforming solid-state technology addressing critical gaps in multiple industries, from 3D sensing to AI computing.
Our LCM™ chip has already secured multiple design wins in our initial market, positioning it at the forefront of the 3D sensing evolution. By merging lidar and ToF camera technologies, it caters to a wide range of markets, including consumer electronics, robotics, industrial, and automotive sectors.
Lumotive was named Fast Company’s Next Big Thing in Tech and won two CES Innovation Awards. Headquartered in Redmond, WA, with offices in San Jose, CA, and Vancouver, Canada, Lumotive is backed by notable investors, including Gates Frontier, MetaVC Partners, Quan Funds, Samsung Ventures, and Uniquest.
Job Description
As a DSP Software Engineer, you will be responsible for developing, testing, and optimizing algorithms for processing LiDAR and image data. You will work closely with software developers and system engineers to create high-performance depth-processing applications that showcase our world class designs. A strong emphasis will be placed on testing and verification to ensure optimal performance and reliability.

Key Responsibilities:

  • Design, develop, and implement signal processing algorithms for LiDAR and image data.
  • Optimize software for real-time performance on various hardware platforms, including GPUs and CPUs.
  • Conduct CPU benchmarking and profiling to identify optimizations and implement improvements.
  • Develop comprehensive testing and verification strategies, including unit tests, integration tests, and system-level testing, to validate algorithm performance and accuracy.
  • Collaborate with cross-functional teams to integrate DSP algorithms into existing systems.
  • Maintain and document software architecture, design decisions, and testing procedures.
  • Stay up to date with the latest advancements in DSP, computer vision, and related technologies.

QUALIFICATIONS

  • Master’s or PhD in Computer Science, Electrical Engineering, or a related field.
  • Proven experience in DSP software development, specifically with LiDAR and image processing applications.
  • Proficiency in modern C++ (C++11 and above) and Python
  • Strong understanding of GPU programming (CUDA, OpenCL, etc.).
  • Experience with CPU benchmarking tools and techniques and code optimization.
  • Experience with real-time systems and embedded programming.
  • Familiarity with testing frameworks and methodologies for software validation.
  • Excellent problem-solving skills and ability to work independently and collaboratively in a team environment.
  • Strong communication skills, both verbal and written.
  • Knowledge of sensor fusion techniques.
  • Familiarity with development tools such as Git, Docker, or similar.
    Additional Information
    Base salary range is $120,000 to 150,000 (CAD) + Performance based Quarterly Bonus + Equity depending on experience.

How To Apply:

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Responsibilities:

  • Design, develop, and implement signal processing algorithms for LiDAR and image data.
  • Optimize software for real-time performance on various hardware platforms, including GPUs and CPUs.
  • Conduct CPU benchmarking and profiling to identify optimizations and implement improvements.
  • Develop comprehensive testing and verification strategies, including unit tests, integration tests, and system-level testing, to validate algorithm performance and accuracy.
  • Collaborate with cross-functional teams to integrate DSP algorithms into existing systems.
  • Maintain and document software architecture, design decisions, and testing procedures.
  • Stay up to date with the latest advancements in DSP, computer vision, and related technologies


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Computer Software/Engineering

IT Software - QA & Testing

Software Engineering

Phd

Proficient

1

Vancouver, BC, Canada