{"id":1457599,"url":"https://alion.io/job/omnivision-staff-ai-systems-engineer","title":"Staff AI Systems Engineer","company":{"id":4417366,"name":"OmniVision","domain":"ovt.com","url":"https://alion.io/company/ovt-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jobvite","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":5500,"max":11000,"currency":"SGD","period":"month","gross":true,"usd_annual":103260},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Quantization","optional":false},{"name":"Apache TVM","optional":true},{"name":"Computer Vision","optional":true},{"name":"Edge AI","optional":true},{"name":"MLIR","optional":true},{"name":"ONNX Runtime","optional":true},{"name":"OpenVINO","optional":true},{"name":"SystemVerilog","optional":true},{"name":"TensorRT","optional":true},{"name":"Verilog","optional":true}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-09-29T00:00:00Z","board_verified":false,"closed_at":null,"days_open":21,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":21},"description":"About the Team\nOur mission is to enable next-generation AI capabilities through tightly integrated hardware and software innovation across imaging and vision systems. We believe meaningful advances in Edge AI require optimization across the entire technology stack, from machine learning algorithms and deployment toolchains to processor architecture and silicon implementation.\nThe AI Architecture team serves as the bridge between Machine Learning, Software Engineering, System Engineering, and IC Design. The team is responsible for evaluating emerging AI workloads, defining future AI compute capabilities, and driving hardware/software co-design for in-sensor and near-sensor AI deployment.\nWe work closely with IC Design, System Engineering, and Software Engineering teams to ensure future AI solutions are optimized across the entire stack, balancing model accuracy, performance, memory efficiency, power consumption, and hardware cost.\n\nAbout the Role\nReporting directly to the AI Architect, the Staff AI Systems Engineer will serve as a key technical partner in translating AI product requirements and architectural vision into deployable AI solutions.\nWorking closely with the AI Architecture team, you will drive hardware/software co-design across machine learning algorithms, software frameworks, compiler support, system architecture, and silicon capabilities. You will evaluate emerging AI workloads, perform roofline and performance bottleneck analysis, study model optimization techniques such as quantization, sparsity, pruning, and compression, and identify opportunities to improve AI deployment efficiency on future hardware platforms.\nYou will collaborate extensively with IC Design, Software Engineering, and System Engineering teams to assess architectural trade-offs, influence future hardware capabilities, develop performance models and benchmarks, and validate architectural concepts through simulation and FPGA-based prototyping.\nYou might thrive in this role if you have strong experience in AI systems, computer architecture, machine learning deployment, or semiconductor development; possess a deep understanding of AI accelerators, NPUs, SIMD or vector architectures; are familiar with neural network topologies and their deployment optimizations; and have hands-on experience with performance analysis, model compression techniques, compiler-aware optimization, FPGA prototyping, or RTL collaboration. Strong Python and C/C++ programming skills, analytical problem-solving abilities, and excellent cross-functional communication skills are essential.\n\nPreferred Qualifications & Ideal Candidate Profile\nMaster's or PhD in Computer Engineering, Electrical Engineering, Computer Science, Machine Learning, or a related discipline.\n8+ years of experience in AI systems, computer architecture, machine learning deployment, semiconductor development, or related technical fields.\nExperience developing, evaluating, or optimizing NPU architectures.\nFamiliarity with Verilog, SystemVerilog, architecture simulation, performance modeling, and design space exploration.\nExperience with MLIR, TVM, ONNX Runtime, TensorRT, OpenVINO, or similar deployment frameworks.\nExperience with computer vision, imaging pipelines, AI-enabled sensor systems, or in-sensor / near-sensor AI applications.\nFamiliarity with RISC-V Vector, SIMD architectures, or vector computing concepts.\nPublications, patents, or open-source contributions in AI systems, computer architecture, machine learning optimization, or semiconductor technologies.\nExperience leading cross-functional technical initiatives involving software, systems, and silicon teams.\n\nThe ideal candidate is a system-level engineer who can bridge machine learning algorithms, software infrastructure, system architecture, and silicon implementation. This individual works comfortably across AI system architecture, NPU architecture, HW/SW co-design, machine learning optimization, compiler-aware deployment, performance analysis, FPGA prototyping, and RTL collaboration while building strong partnerships with AI Architecture, IC Design, Software Engineering, and System Engineering teams to deliver production-ready AI solutions.\nSkills\nAi, Candidate Screening, Leadership, Vision Systems, Software Engineering, AI Evaluation, technical studies, Solution Architecture, Space Exploration, AI accelerator, Represent team, Scalable Architecture, Edge, Programming, Electrical Engineering, Application Deployment","description_format":"text","description_chars":4477,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Hardware","Manufacturing","Displays & Panel Technology"],"lifecycle":[{"event":"open","at":"2026-09-29T10:00:34Z"}],"visa":[],"liveness":{"score":54,"band":"ok","label":"Likely open","p_open":0.85,"p_active":0.849,"p_room":0.75,"age_days":21,"expected_fill_days":29,"reasons":["seen:21","velocity","win:late"],"computed_at":"2026-10-20T05:45:00Z"},"pay":{"stated_usd_annual":103260,"is_top_pay":false},"html_url":"https://alion.io/job/omnivision-staff-ai-systems-engineer","json_url":"https://alion.io/job/omnivision-staff-ai-systems-engineer.json","meta":{"generated_at":"2026-10-20T06:25:23Z","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":6945,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"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":4417366},"rest":"https://alion.io/mcp/rest/get_company?id=4417366"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fomnivision-staff-ai-systems-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%2Fomnivision-staff-ai-systems-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%2Fomnivision-staff-ai-systems-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/omnivision-staff-ai-systems-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fomnivision-staff-ai-systems-engineer"}]}