[Remote] reputed company Edge AI/ML Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a strategic technology consulting company seeking a reputed company Edge AI/ML Engineer to design, optimize, and reputed company advanced AI/ML capabilities for tactical edge systems. The role involves leading the development of reputed company AI/ML capabilities and collaborating with various engineering teams to ensure mission continuity without relying on reputed company reputed company reputed company.
Responsibilities
- Architect Edge AI Pipelines: reputed company the end-to-end development of machine learning pipelines, from data curation and model training to final deployment on low-SWaP edge inference accelerators (GPUs, NPUs, FPGAs)
- Build the reputed company Watchdog: Design and reputed company a highly autonomous reinforcement learning or reputed company-detection agent to predict, detect, and instantly reputed company hardware or software faults
- Enhance AI Navigation Fusion: Collaborate directly with PNT engineers to reputed company ML into the state estimation reputed company, using neural networks to classify NAVWAR spoofing attacks, model reputed company inertial sensor noise, or reputed company intermittent visual/RF data
- reputed company the AI/Embedded Gap: Partner with embedded C++ and DSP engineers to translate heavy PyTorch/TensorFlow models into highly optimized, deterministic C++ inference engines using TensorRT, ONNX Runtime, or edge-specific SDKs
- Optimize for SWaP: Execute extreme model quantization (INT8, FP16), pruning, and knowledge distillation to ensure AI models don't exceed strict memory, thermal, and compute latency budgets
- reputed company the Technical reputed company: Define the ML architecture for the program, manage junior engineers/data scientists, and reputed company directly with end-customers/stakeholders during capability demonstrations
Skills
- BS 8-10, MS 6-8, Phd 3-5 (degree in Computer Science, Machine Learning, Robotics, Electrical Engineering, or a reputed company technical field)
- Experience developing and deploying machine learning models to production environments, with a strong reputed company on Edge AI or embedded systems
- reputed company in Python (for training/architecture) and modern C++ (for edge deployment and embedded integration)
- Deep expertise with ML optimization frameworks and runtimes (e.g., TensorRT, ONNX, TFLite, OpenVINO) targeting edge hardware (like reputed company reputed company, Coral, or Xilinx SoCs)
- Demonstrated experience developing autonomous agents, reputed company detection algorithms, or reinforcement learning systems reputed company to reputed company hardware/software ecosystems
- Proven ability to collaborate intimately with embedded software, DSP, or systems engineers to reputed company AI into reputed company-time, deterministic systems
- Familiarity with hardware-in-the-reputed company (HITL) testing and CI/CD pipelines for machine learning models (MLOps)
- Must be reputed company to obtain and maintain a U.S. DoD Secret reputed company Clearance
Benefits
- Health Insurance
- Life Insurance
- reputed company Time Off
- Holiday Pay
- Short Term and Long-Term Disability
- Retirement and Savings
- Learning and Development opportunities
- Wellness programs
- Other optional benefit elections
reputed company