{"id":1965933,"url":"https://alion.io/job/bright-vision-technologies-embedded-ai-engineer","title":"Embedded AI Engineer","company":{"id":449700,"name":"Bright Vision Technologies","domain":"bvteck.com","url":"https://alion.io/company/bright-vision-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":100000,"max":150000,"currency":"USD","period":"year","gross":null,"usd_annual":150000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Core ML","optional":false},{"name":"Edge AI","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"LiteRT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Distillation","optional":false},{"name":"ONNX Runtime","optional":false},{"name":"Python","optional":false},{"name":"Quantization","optional":false},{"name":"Federated Learning","optional":true}],"status":"live","first_seen_at":"2026-10-06T14:56:48Z","employer_posted_date":null,"last_verified_at":"2026-10-06T14:56:48Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"Embedded AI Engineer - Remote \n\nBright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. \nThis is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. \n\nJob Title: Embedded AI Engineer\nLocation: 100% Remote (U.S.) \nPosition Type: Full-time, Direct W2 \nSalary Range: $100,000–$150,000 Annually \nExperience Required: 6+ years \n\nSponsorship: 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. \n\nJob Summary\nWe 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.\n\nKey Responsibilities\nDesign and implement edge AI solutions optimized for diverse hardware including mobile SoCs, NPUs, and embedded accelerators.\n\nApply quantization, pruning, distillation, and architectural optimization to fit models within edge constraints.\n\nTune model performance for latency, energy efficiency, and memory footprint on target hardware.\n\nBuild cross-platform inference runtimes leveraging frameworks such as TensorFlow Lite, ONNX Runtime, and Core ML.\n\nOptimize models for specific accelerator backends including DSPs, NPUs, and mobile GPUs.\n\nImplement 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.\n\nDesign hybrid edge-cloud architectures that gracefully degrade based on connectivity and device capability.\n\nBuild telemetry pipelines that respect privacy while enabling continuous improvement.\n\nCollaborate with hardware, firmware, and product teams to align AI capabilities with device constraints.\n\nImplement secure execution paths, model protection, and integrity verification on edge devices.\n\nDevelop benchmarking suites that characterize accuracy, latency, and energy trade-offs across devices.\n\nDrive responsible AI considerations including on-device privacy and bias evaluation.\n\nMaintain 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.\n\nStay 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.\n\nRequired Qualifications\nBachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.\n\nSix or more years of experience in ML engineering, with significant work on edge or mobile AI.\n\nStrong proficiency in Python and C++.\n\nHands-on experience with model compression, quantization, and pruning techniques.\n\nExperience with at least one major edge inference framework.\n\nSolid understanding of mobile and embedded hardware architectures.\n\nExperience deploying ML models to production on mobile or embedded platforms.\n\nStrong performance engineering and profiling skills.\n\nFamiliarity with on-device privacy and security considerations.\n\nStrong communication and cross-functional collaboration skills.\n\nPreferred Qualifications\nExperience with custom NPU or DSP toolchains.\n\nFamiliarity with federated learning or on-device personalization.\n\nExposure to safety-critical or industrial edge deployments.\n\nOpen-source contributions to edge AI frameworks.\n\nExperience optimizing LLMs for on-device inference.\n\nHow to Apply\nWould you like to know more about this opportunity? For immediate consideration, please send your resume to  or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at . \nBright Vision Technologies is an Equal Opportunity Employer.\n\nEqual Employment Opportunity (EEO) Statement\nBright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.\nBV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.\nOriginally posted on Himalayas","description_format":"text","description_chars":5343,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Blockchain & Crypto","Cybersecurity"],"lifecycle":[{"event":"open","at":"2026-10-06T17:28:00Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":5,"expected_fill_days":29,"reasons":["seen:5","velocity","win:early","comp:brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":{"stated_usd_annual":150000,"is_top_pay":false},"html_url":"https://alion.io/job/bright-vision-technologies-embedded-ai-engineer","json_url":"https://alion.io/job/bright-vision-technologies-embedded-ai-engineer.json","meta":{"generated_at":"2026-10-12T15:46:53Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":24926,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":449700},"rest":"https://alion.io/mcp/rest/get_company?id=449700"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbright-vision-technologies-embedded-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fbright-vision-technologies-embedded-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fbright-vision-technologies-embedded-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/bright-vision-technologies-embedded-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbright-vision-technologies-embedded-ai-engineer"}]}