Software Engineer, AI Engineer, Machine Learning​/ ML Engineer

Role: Software Engineer
Location: Lehi, UT 84043
Hybrid

Schedule:

Onsite Monday, Tuesday, Wednesday, Thursday

We are seeking a Staff Software Engineer, AI/ML to lead the development of advanced AI applications running on embedded devices and cloud infrastructure across our smart home ecosystem. This role bridges cutting‑edge AI/ML models with fully integrated smart home security devices. As a technical leader, you’ll drive efforts across on‑device AI, multi‑modal sensor fusion, and cloud‑edge coordination, working closely with cross‑functional teams.

• Build multi‑modal pipelines and features that integrate vision, audio, radar, text, and other inputs for high‑accuracy AI customer experiences.
• Optimize and deploy AI model applications for constrained environments, including benchmarking on hardware.
• Collaborate cross‑functionally with cloud, mobile, QA, product, UX, and hardware teams to ship AI‑powered experiences at scale.
• Serve as a technical mentor and system owner, influencing team strategy, reviews, and roadmap prioritization.
• Develop tools and frameworks to support model evaluation, A/B testing, and automated performance monitoring across both cloud and edge environments.

• Bachelor’s or Master’s in Computer Engineering, Computer Science, Electrical Engineering, or similar.
• 5+ years of hands‑on experience in embedded software and/or applied machine learning in production.
• Proven ability to design and deploy real‑time systems on embedded Linux (or RTOS).
• Highly proficient in C++, Rust, and Python in production environments.
• Experience with AI model lifecycle: training, conversion (ONNX, Tensor
  
  RT, TFLite), quantization, and pruning.
• Knowledge of cloud platforms (GCP, AWS, Azure) and edge‑cloud coordination.
• Solid understanding of system‑level design, debugging, and performance tuning.

• Computer Vision & ML:
  Classification, Detection, Tracking, Recognition, LLM/VLM integration, Pose Estimation, Vector Embeddings.
• Multi‑modal ML and Sensor Fusion: visual, audio, radar, and text data.
• Model Optimization:
  Post‑training quantization, pruning, distillation, benchmarking on NPUs/DSPs/ASICs.
• Media & Signal Processing: GStreamer, FFmpeg, Media Pipe, OpenCV.
• Communication Protocols: MQTT, gRPC, Bluetooth, Wi‑Fi, WebRTC.
• Dev Ops: CI/CD (Git Lab), versioning, monitoring.
• Containerization:
  Docker, Kubernetes.
• Security & Privacy:
  Secure boot, data encryption, firmware signing.
• Databases:
  Vector DBs, Time‑Series, Graph‑based Knowledge Systems.
• Collaboration Tools: JIRA, Confluence, Slack, Teams.

• Comprehensive medical benefits.
• Competitive pay, 401(k).
• Retirement plan.
• …and much more!

Technology is our focus and quality is our commitment. As a leading expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our tailored offerings include a wide variety of professional services, project solutions, managed services, and talent resources, all bolstered by our strategic partnerships with cutting‑edge technology services.

By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

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