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Syntiant

Edge AI processors and scalable models

Forward Deployed Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeRedwood City, CA, USA$195k - $225k

About the Job

Requirements

  • A bachelor's degree in Computer Science, Computer Engineering, a related field, or equivalent experience is required.
  • At least 3 years of professional software development experience is required.
  • Strong experience with C++ and Python is required.
  • Experience working in large, complex codebases is required.
  • Experience with Embedded Linux is required.
  • Experience with NVIDIA Jetson platforms is required.
  • The candidate must be able to work quickly and independently in fast-paced, ambiguous field environments.
  • The candidate must be comfortable working with customers and end-users, including non-technical stakeholders.
  • The candidate must be a U.S. citizen and have a security clearance or be able to obtain one.
  • The candidate must travel to customer sites, including test ranges and military installations, for up to 2 weeks at a time.

Responsibilities

  • Integrate and deploy Syntiant software on new platforms on-site in customer environments.
  • Work directly with customers and gain hands-on experience with target hardware.
  • Troubleshoot deployment issues.
  • Help drive successful technical outcomes for projects in the federal business.

Desired Qualifications

  • Familiarity with machine learning frameworks such as TensorFlow or PyTorch is a plus.
  • Computer vision or audio experience is a plus.
  • Familiarity with autonomous vehicles is a plus.

About the Company

Syntiant

Edge AI processors and scalable models

Syntiant creates edge AI hardware and software that run deep learning models on-device in power-limited products. Its Neural Decision Processors and scalable neural models are designed to operate in compute-constrained environments and can run on a wide range of hardware—from the smallest MCUs to large GPUs—without relying on cloud servers. This lets devices like smart home gear, cars, personal devices, and industrial products perform intelligent tasks locally, saving battery power and reducing cloud costs. Syntiant differentiates itself by offering hardware-agnostic, scalable ML models that deliver much higher efficiency and throughput for edge inference across diverse platforms. The company’s goal is to enable practical on-device AI across multiple industries, improving user experience while lowering energy usage and cloud dependence.

Company size
201-500
Company stage
Late Stage VC
Total funding
$120.1M
Headquarters
Irvine, CA
Founded
2017

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