ML Systems Engineer # 26-24363

Us Tech Solutions; Sunnyvale (CA); On-site; USD 96,000 - 138,000; Full time

Job summary

US Tech Solutions in Sunnyvale, CA, seeks a contract engineer to design and deploy high-performance edge computer vision and ML pipelines on resource-constrained hardware.

You will optimize ML workloads for low latency, integrate AI algorithms with Android camera frameworks, and collaborate with software and hardware teams to align sensors with on-device NNUs. This is a 12-month contract.

Qualifications

• Bachelor’s degree in CS/EE/CE or equivalent practical experience.
• Proficiency in Python, C and C++ for low-level software development.
• Experience with edge-optimized ML frameworks (TF Lite, ONNX, PyTorch Edge).
• Familiarity with Android platform stack and camera subsystems.
• Solid CV fundamentals and DSP knowledge.
• Previous AI experience.

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.

Skills

Python

C

C++

ML frameworks

Android

CV fundamentals

DSP basics

AI experience

Education

Bachelor’s degree in CS/EE/CE or equivalent

Tools

TensorFlow Lite

ONNX Runtime

PyTorch Edge

Job description

$70-$100 per hour

Sunnyvale, CA

Contract

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.

Must-Have Hard Skills:

• 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

Nice-to-Have Skills:

• 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.

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.