Immediate need for a talented Gaming - Embedded Software Engineer II. This is a 06+ Months Contract opportunity with long-term potential and is located in Sunnyvale, CA (Hybrid). Please review the job description below and contact me ASAP if you are interested.
Job ID:26-30698
Pay Range: $80 - $85/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key 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.
Key Requirements and Technology Experience:
- 5+ years of experience in embedded systems development with a strong background in C++, Python, and Embedded Systems with DSP.
- Bachelor s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent practical experience.
- Proficiency in Python, 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.
- 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.
- Former Meta experience.
Our client is a leading Social media Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy .
Never miss an opportunity! Create an alert based on the job you applied for.