Sign upLog in
See more jobs
eTeam Inc. logo

Embedded Software Engineer II

eTeam Inc.

  • Sunnyvale, CA
  • 6 days ago
  • $80–$90 Per Hour

Highlights

Minimum Qualifications Bachelor s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent practical experience. Experience with machine learning frameworks optimized for edge deployment, such as TensorFlow Lite, ONNX Runtime, or PyTorch Edge.
eTeam Inc.

Numbers & Facts

LocationSunnyvale, CA
IndustryOther/Not Classified
Salary$80–$90 Per Hour
Company Size100 to 499 employees
Year Founded1998
Websitewww.eteaminc.com

Description

Job Title: Embedded Software Engineer
Location: Sunnyvale, CA (Onsite 3 days)
Duration: 12 months

Responsibilities
  • Design and deploy high-performance computer vision and machine learning pipelines directly onto resource-constrained edge hardware.
  • Optimize concurrent ML workloads to maximize throughput and minimize latency when running multiple edge-AI features simultaneously.
  • Integrate edge-AI algorithms seamlessly within the Android camera framework and multimedia subsystems.
  • Collaborate across software and hardware teams to bridge low-level camera sensor subsystems with on-device neural processing units (NPUs).
  • Profile and optimize memory footprint, power consumption, and execution timing to meet strict on-device performance constraints.

Minimum Qualifications
  • Bachelor s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent practical experience.
  • Proficiency in Python, and C and C for low-level software development and optimization.
  • Experience with machine learning frameworks optimized for edge deployment, such as TensorFlow Lite, ONNX Runtime, or PyTorch Edge.
  • Familiarity with the Android platform stack, specifically regarding multimedia or camera subsystem integration.
  • Solid understanding of computer vision fundamentals, digital signal processing (DSP), or basic camera architectures.
  • Previous AI experience

Preferred Qualifications
  • Hands-on experience developing within the Android camera framework to control, process, route, and transform real-time image streams.
  • Experience with model optimization techniques such as quantization, pruning, and hardware-specific compilation for NPUs, GPUs, or DSPs.
  • Background in developing low-latency algorithms for real-time edge applications (e.g., biometric verification, image restoration, or on-device language processing).
  • Familiarity with hardware-constrained vision pipelines, including specialized sensor integration and multi-threaded concurrency models.
  • Hands-on experience debugging low-level software utilizing hardware profiling tools to isolate memory bottlenecks and scheduling conflicts.

About Company

Looking for a great job? Join eTeam. We’re looking for talented staffing professionals to join our staff. We also provide contract assignments and full-time jobs at Fortune 2000 Companies. We’ve been named one of the best companies to work for by Staffing Industry Analysts and New Jersey Business.

Similar Jobs

See more jobs