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Salience Labs

Photonic tensor processing for AI workloads

Embedded Software Engineer

Embedded EngineeringPosted on Nov 13
Full-timeOxford, UKNo salary listedHybrid

About the Job

Requirements

  • At least 4 years of hands-on experience developing embedded software in C or C++.
  • Ability to own software modules from design through delivery.
  • Comfort using Python and modern tooling, including Git, Confluence, and Jira.
  • Ability to apply problem-solving, analytical thinking, and communication skills.
  • Ability to work independently and collaboratively.

Responsibilities

  • Design, implement, and document embedded software across projects of varying scales.
  • Work with hardware and FPGA teams to build robust embedded systems.
  • Use off-the-shelf development kits for rapid prototyping and system testing.
  • Select, tailor, and integrate open-source applications and embedded frameworks.
  • Collaborate with the Systems Test team to support test automation and data capture.
  • Develop internal tools and test benches for the photonics and hardware teams.

Desired Qualifications

  • Ability to read schematics or interpret register-transfer level (RTL), particularly to support hardware teams.
  • Experience developing for ARM-based embedded platforms.
  • Knowledge of I2C, SPI, PCIe, and embedded driver development.
  • Understanding of networking concepts.
  • Ability to become a domain expert in unfamiliar tools or technologies.

About the Company

Salience Labs

Photonic tensor processing for AI workloads

Salience Labs designs and builds photonic-based processors to boost AI computing power while reducing energy use. Its main product is a massively parallel, ultra-high-throughput tensor processing chip that uses light for computation, aiming to overcome bottlenecks in data transfer and processing that limit traditional electronic AI chips. The chip, built with silicon photonics, enables faster AI workloads by performing tensor operations in the optical domain, improving bandwidth and efficiency for data centers. Compared with electronic AI hardware, Salience Labs focuses on photonics to deliver higher throughput and lower power per operation, targeting AI and data center customers with specialized chip design and manufacturing. The company’s goal is to enable scalable, energy-efficient infrastructure to support larger and more capable AI models and workloads.

Company size
51-200
Company stage
Series B
Total funding
$170.6M
Headquarters
Milton, United Kingdom
Founded
2020

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