While you browse, an agent could be applying to jobs like these for you — automatically, every day.
See how Auto-Apply works →AI Engineer Jobs
Embedded AI Engineer
Bright Vision Technologies
Bright Vision Technologies
- Workplace Type
- Onsite
- Location
- Kirkland, WA
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Embedded AI Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
We are looking for an Embedded AI Engineer to design, optimize, and deploy machine learning models that run efficiently on resource-constrained edge devices, including mobile platforms, embedded systems, and specialized accelerators. The role requires deep expertise in model compression, quantization, and hardware-aware optimization, along with strong systems engineering skills to ship reliable AI capabilities outside the data center. The ideal candidate has shipped edge AI in production environments where compute, memory, energy, and connectivity constraints fundamentally shape the engineering trade-offs.
Key Responsibilities
- Design and implement edge AI solutions optimized for diverse hardware including mobile SoCs, NPUs, and embedded accelerators.
- Apply quantization, pruning, distillation, and architectural optimization to fit models within edge constraints.
- Tune model performance for latency, energy efficiency, and memory footprint on target hardware.
- Build cross-platform inference runtimes leveraging frameworks such as TensorFlow Lite, ONNX Runtime, and Core ML.
- Optimize models for specific accelerator backends including DSPs, NPUs, and mobile GPUs.
- Implement on-device model update, versioning, and rollback workflows that allow safe staged rollouts to large device populations and rapid recovery if a model release behaves unexpectedly in the field.
- Design hybrid edge-cloud architectures that gracefully degrade based on connectivity and device capability.
- Build telemetry pipelines that respect privacy while enabling continuous improvement.
- Collaborate with hardware, firmware, and product teams to align AI capabilities with device constraints.
- Implement secure execution paths, model protection, and integrity verification on edge devices.
- Develop benchmarking suites that characterize accuracy, latency, and energy trade-offs across devices.
- Drive responsible AI considerations including on-device privacy and bias evaluation.
- Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time.
- Stay current with edge AI hardware and software developments, regularly review release notes and community discussions, and translate noteworthy advances into concrete recommendations and adoption proposals for the team.
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
- Six or more years of experience in ML engineering, with significant work on edge or mobile AI.
- Strong proficiency in Python and C++.
- Hands-on experience with model compression, quantization, and pruning techniques.
- Experience with at least one major edge inference framework.
- Solid understanding of mobile and embedded hardware architectures.
- Experience deploying ML models to production on mobile or embedded platforms.
- Strong performance engineering and profiling skills.
- Familiarity with on-device privacy and security considerations.
- Strong communication and cross-functional collaboration skills.
- Experience with custom NPU or DSP toolchains.
- Familiarity with federated learning or on-device personalization.
- Exposure to safety-critical or industrial edge deployments.
- Open-source contributions to edge AI frameworks.
- Experience optimizing LLMs for on-device inference.
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
About Bright Vision Technologies
IT System Custom Software Development
Bright Vision Technologies is a minority-owned, product-focused AI technology company headquartered in Bridgewater, New Jersey. Founded in July 2020, we are a pure-play product engineering firm dedicated to transforming the staffing and enterprise automation industries through our flagship platform — Lumina. Lumina is an advanced AI-powered talent intelligence and enterprise automation platform that integrates artificial intelligence, hybrid cloud, and blockchain technologies to revolutionize how organizations source talent and automate complex workflows. What Lumina delivers: - AI-driven candidate sourcing, semantic resume matching, and intelligent ranking - Generative AI and Large Language Model orchestration with LangChain and RAG-based architecture - Automated recruiter assistant and workflow automation - Blockchain-enabled credential verification and tamper-proof digital identity - Advanced optimization for talent supply chain, workforce planning, and resource allocation - Enterprise-grade security with role-based access, encryption, and comprehensive audit logging - Seamless integration with CRM, ERP, HRMS, ATS, and legacy enterprise systems Built on a scalable microservices architecture with cloud-native deployment across AWS, Azure, GCP, and Red Hat OpenShift, Lumina is trusted by enterprises across financial services, healthcare, manufacturing, and retail — delivering efficiency improvements of 40–60% and measurable ROI within the first quarter of deployment. At Bright Vision, we are building the future of AI-powered talent intelligence — with a strong commitment to innovation, enterprise security, and U.S.-based job creation in AI engineering, product development, and go-to-market functions. Learn more at www.bvteck.com
- Employees
- 60
- Industry
- IT System Custom Software Development
- Headquarters
- Bridgewater, NJ
- Founded
- 2020
- Location
- #991 Route 22 West, Suite 200,, Bridgewater, NJ 08807, US
- Specialties
- software development, SDLC, Visa Sponsorship, H1B, Cloud, Web Application Development, Full-stack Development, Software Architecture, DevOps & CI/CD, SaaS Development, API Integration, Cloud Computing (AWS, Azure, Google Cloud), Backend Development (Java, Python, .NET, Node.js), Frontend Development (React.js, Angular, Vue.js, UI/UX Design, Quality Assurance & Software Testing, Application Modernization, Digital Transformation, Microservices, Database Management (SQL, NoSQL), Artificial Intelligence, Generative AI, Large Language Models, AI Talent Intelligence, Enterprise Automation, Machine
Team
