Software Engineering - Software Engineer III

Location: Onsite – Redmond, WASalary Range: $93.33/hourly on W2Introduction

The Team is a world-class group of researchers, developers, and engineers dedicated to creating the future of virtual and augmented reality. Our work focuses on developing technologies for AR glasses, including optics, computer vision, audio, graphics, and more. The RLR Audio team is particularly focused on redefining human hearing and developing auditory machine intelligence to enhance human connection and communication.

Required Skills & Qualifications

• BS degree in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent work experience
• Industry experience optimizing and running ML inference on embedded or resource-constrained devices
• Experience training ML models using deep learning frameworks such as PyTorch or TensorFlow
• 2 years of industry experience writing C/C++
• Experience profiling and debugging performance issues across the ML model and the target hardware
• Experience working in cross-functional teams
• Prior work experience at client or in client's Industry

Applicants must be able to work directly for Artech on W2

Preferred Skills & Qualifications

• Experience with ML for audio (e.g. speech enhancement, source separation, keyword spotting, acoustic event detection)
• Experience with ML for computer vision (e.g. detection, tracking, segmentation, pose estimation)
• Experience with audio DSP fundamentals (e.g. filtering, STFT/filterbanks, beamforming, real-time audio processing)
• Experience with on-device inference frameworks and toolchains (e.g. ExecuTorch, TFLite/LiteRT, ONNX Runtime, vendor NPU/DSP SDKs)
• Experience with model compression techniques such as quantization-aware training, post-training quantization, pruning, or distillation
• Experience writing hardware-specific optimizations (e.g. SIMD/NEON, DSP intrinsics, fixed-point arithmetic)
• Experience working in the AR/VR or wearable device space
• Ability to gather requirements and work closely with researchers to develop novel solutions
• History of writing code to support the execution of research initiatives

Day-to-Day Responsibilities

• Work side by side with research scientists to take ML models from research prototypes to efficient, real-time inference on embedded devices
• Train, fine-tune, and adapt ML models with deployment constraints (latency, memory, power, compute) in mind
• Optimize models for on-device inference using techniques such as quantization, pruning, distillation, operator fusion, and architecture adjustments
• Port, integrate, and profile ML models on embedded targets (e.g. DSPs, NPUs, microcontrollers, mobile SoCs), identifying and resolving performance bottlenecks
• Write clean, maintainable, high-performance C/C++ code for on-device inference pipelines and integrate it into real-time prototype systems
• Build tools and infrastructure that make it faster for researchers to evaluate model performance and accuracy on target hardware
• Coordinate with internal hardware, runtime, and toolchain teams across Reality Labs and Meta to evaluate and integrate with existing systems
• Work collaboratively as part of a multifunctional team where communication, documentation, and teamwork are highly valued
• Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solving

Company Benefits & Culture

• Encourages a strong sense of ownership and embraces the ambiguity that comes with working on the frontiers of research
• Fosters an honest and considerate environment where self-motivated individuals thrive
• Supports continuous learning and exploration of new technologies

For immediate consideration please click APPLY to begin the screening process with Alex.
You can share your resumes on satyam.singh@artech.com