{"id":3852074,"url":"https://alion.io/job/altera-rtl-engineer-physical-ai-solutions","title":"RTL Engineer – Physical AI Solutions","company":{"id":5328,"name":"Altera","domain":"altera.com","url":"https://alion.io/company/altera","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":18,"ghost_share":0,"stale_share":0.444,"repost_share":0.111,"time_to_fill_p50_days":53,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Hardware","role_family":"Hardware","seniority":"middle","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 Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":149100,"max":238200,"currency":"USD","period":"year","gross":null,"usd_annual":238200},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Physical AI","optional":false},{"name":"SystemVerilog","optional":false},{"name":"Verilog","optional":false},{"name":"C++","optional":true},{"name":"Edge AI","optional":true},{"name":"Machine Learning","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-11-05T00:00:00Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-08T10:23:08Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Details:\nJob Description:\nAltera is empowering a new era of intelligent computing through programmable silicon solutions that accelerate innovation across cloud, edge, communications, industrial, automotive, and emerging AI applications. Our FPGA and adaptive computing technologies enable customers to build highly flexible, high-performance systems that can evolve with rapidly changing workloads.\nWe are seeking talented RTL Engineers to help develop next-generation hardware architectures that accelerate Physical AI workloads. This is an opportunity to work on cutting-edge FPGA and heterogeneous compute solutions that bridge the digital and physical worlds, enabling intelligent robotics, autonomous systems, machine vision, industrial automation, and real-time AI inference.\nThe Role\nAs an RTL Engineer, you will be responsible for designing, implementing, and verifying high-performance digital logic that powers AI and accelerated computing solutions. You will collaborate with architects, design verification engineers, software teams, and physical design engineers to deliver scalable and efficient hardware solutions targeting advanced FPGA and programmable logic platforms.\nThis role is ideal for engineers who are passionate about computer architecture, digital design, AI acceleration, and building hardware that enables real-world intelligent systems.\nResponsibilities\nDesign and develop RTL for FPGA and programmable hardware solutions supporting Physical AI applications. \nTranslate architectural specifications into high-quality, synthesizable Verilog/SystemVerilog RTL. \nCreate microarchitecture specifications and participate in architecture reviews. \nOptimize designs for performance, area, power, and scalability. \nCollaborate closely with design verification teams to define verification strategies and close functional coverage. \nSupport FPGA implementation activities including synthesis, timing closure, and performance analysis. \nWork with firmware and software teams to enable hardware-software integration and system bring-up. \nDebug RTL, simulation, emulation, and silicon-related issues throughout the product lifecycle. \nContribute to feature definition and architectural innovation for next-generation AI acceleration technologies. \nParticipate in design reviews and maintain high standards for code quality and engineering excellence. \nThe pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.\n$149.1K - $238.2K USD\nWe use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations.\nQualifications:\nMinimum Qualifications\nBachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related technical field. \n3+ years of experience in RTL design and digital logic development. \nStrong expertise in Verilog and/or SystemVerilog. \nSolid understanding of computer architecture, digital design fundamentals, and ASIC/FPGA design methodologies. \nExperience with simulation, debugging, and verification tools. \nExperience developing high-performance datapath, control logic, or accelerator architectures. \nFamiliarity with synthesis, static timing analysis, and FPGA implementation flows. \nStrong analytical, debugging, and problem-solving skills. \nExcellent communication and collaboration abilities. \nPreferred Qualifications\nMaster's or Ph.D. in Electrical Engineering, Computer Engineering, or related discipline. \nExperience designing AI, machine learning, vision-processing, signal-processing, networking, or robotics accelerators. \nKnowledge of FPGA architectures and adaptive computing platforms. \nExperience with industry-standard EDA tools such as Synopsys, Siemens EDA, or Cadence design environments. \nUnderstanding of high-bandwidth memory systems, NoC architectures, PCIe, Ethernet, CXL, or coherent interconnects. \nExperience with hardware/software co-design. \nFamiliarity with Python, C/C++, or scripting languages used for design automation and validation. \nExperience developing solutions for robotics, industrial automation, autonomous systems, or edge AI applications. \nWhat You'll Build\nFPGA-accelerated AI pipelines \nReal-time perception and sensor-processing systems \nRobotics and autonomous machine compute platforms \nEdge AI inferencing architectures \nHigh-performance programmable accelerator subsystems \nNext-generation adaptive computing solutions powering Physical AI applications \nWhy Join Altera?\nShape the future of Physical AI and intelligent systems. \nWork on industry-leading programmable silicon technologies. \nCollaborate with world-class engineers solving complex hardware challenges. \nInfluence next-generation computing architectures deployed across cloud, edge, and autonomous systems. \nHelp bring AI closer to the real world through programmable, scalable hardware innovation. \nJob Type:\nRegularShift:\nShift 1 (United States of America)Primary Location:\nSan Jose, California, United StatesAdditional Locations:\nPosting Statement:\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or 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