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.
Numbers & Facts
Location
Sunnyvale, CA
Industry
Other/Not Classified
Salary
$80–$90 Per Hour
Company Size
100 to 499 employees
Year Founded
1998
Website
www.eteaminc.com
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.
Skills
Algorithmsunmatched
Androidunmatched
Artificial Intelligence (AI)unmatched
Computer Engineeringunmatched
Computer Scienceunmatched
Computer Visionunmatched
Concurrencyunmatched
Debugging Skillsunmatched
Digital Signal Processing (DSP)unmatched
Electrical Engineeringunmatched
Embedded Softwareunmatched
GPU (Graphics Processing Unit)unmatched
Machine Learningunmatched
Memory Hardwareunmatched
Multimediaunmatched
Multithreaded Programmingunmatched
Python Programming/Scripting Languageunmatched
Software Developmentunmatched
Software Engineeringunmatched
System Integration (SI)unmatched
Transportation Routingunmatched
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