{"id":1252739,"url":"https://alion.io/job/openinfer-senior-on-device-ai-inference-performance-engineer","title":"Senior On-Device AI Inference Performance Engineer","company":{"id":35877,"name":"OpenInfer","domain":"openinfer.io","url":"https://alion.io/company/openinfer","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-15T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Mateo, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":162000,"max_usd":309000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1213},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Edge AI","optional":false}],"status":"live","first_seen_at":"2024-12-24T00:00:00Z","employer_posted_date":"2024-12-24","last_verified_at":"2026-10-15T10:36:07Z","board_verified":true,"closed_at":null,"days_open":660,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":660},"description":"Position Overview\nWe are looking for highly skilled engineers with a focus on C/C++, low level systems, performance and power optimization to join our team full-time. In this role, you will apply your expertise in performance optimization and contribute to building a scalable, efficient inference engine to power the future of on-device AI use cases, such as real-time agents and assistants. You will work with seasoned engineers to enhance our end to end inference stack, power management, and overall system efficiency.\nKey Responsibilities\nInnovate on the inference optimization pipeline through algorithmic and system optimization\nOwn end to end system characterization across a range of hardware\nOwn the design and implementation of inference optimizations for AI workloads, targeting peak efficiency on diverse hardware.\nEngage in performance benchmarking, profiling, and troubleshooting to improve execution across various hardware.\nWork on cross-functional teams to design, implement, and test new features.\nQualifications\n5+ years of hands-on experience in C/C++ development with a focus on performance optimization.\nStrong understanding of low level systems and efficiency in the context of high-performance computing.\nFamiliarity with GPU-based computing and CUDA or similar GPU programming environments.\nSolid knowledge of system design and performance optimization techniques.\nExperience with open-source contributions and community-driven projects is a plus.\nWhat You’ll Gain\nOpportunity to work alongside industry experts in AI optimization, high-performance computing, and hardware acceleration.\nHands-on experience with cutting-edge technologies at the intersection of AI and hardware acceleration.\nExposure to open-source development and collaboration with a vibrant community.\nBenefits We Offer:\nAt OpenInfer we offer comprehensive benefits, some include:\nMedical, Dental, and Vision benefits\nFlexible Paid Time Off, 10 days\nParental Leave\n401(k) Plan with company matching\nSnacks and coffee to keep you energized\nThese benefits are further detailed in OpenInfer policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits 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