{"id":2784679,"url":"https://alion.io/job/amazon-chip-design-engineer-nitro-team","title":"Chip Design Engineer, Nitro Team","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":87,"open_postings":1872,"ghost_share":0,"stale_share":0.733,"repost_share":0.002,"time_to_fill_p50_days":15,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Hardware","role_family":"Hardware","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tel Aviv, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":83000,"max_usd":240000,"period":"year","method":null,"sample_n":3689},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"AWS Trainium","optional":false},{"name":"Machine Learning","optional":false},{"name":"SystemVerilog","optional":false},{"name":"Verilog","optional":false},{"name":"Python","optional":true},{"name":"UVM","optional":true}],"status":"live","first_seen_at":"2026-08-25T00:00:00Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-18T09:33:23Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":54},"description":"Annapurna Labs, an Amazon team, designs and delivers high-end, custom silicon at the heart of AWS. Our chips don't just support the cloud - they define it. From Nitro, the advanced network and cloud management controller that underpins every AWS instance, to Trainium, the purpose-built ML accelerator driving the next wave of AI innovation, to Graviton, the Arm-based server processor redefining price-performance for compute workloads, Annapurna's products set the standard for the industry.\nHelp design the chips that power the world's largest cloud!\nJoin Annapurna Labs and take part in developing cutting-edge semiconductor products within a disruptive system architecture that fuels AWS Nitro - the technology behind millions of servers worldwide, including the infrastructure powering AWS's largest AI and machine learning workloads.\nAs a Chip Design Engineer, you'll take ownership of complex hardware blocks and drive their design from specification through production, contributing to the hardware that powers Amazon Web Services - the world's most reliable, scalable, and cost-efficient cloud platform, in an era where AI is driving unprecedented demand for compute, networking, and silicon innovation.\nWatch these videos to learn more about Annapurna Labs and the Nitro project:\nAWS re:Invent 2025 - Keynote with Peter DeSantis and Dave Brown: https://www.youtube.com/watch?v=JeUpUK0nhC0\nAWS re:Invent 2025 - Deep Dive into the AWS Nitro System https://www.youtube.com/watch?v=cD1mNQ9YbeA\nKey job responsibilities\n* Own microarchitecture definition and implement logic blocks and data paths\n* RTL coding and debug using SystemVerilog, industry-standard tools, and AI-assisted development flows\n* Drive synthesis, timing analysis, and timing-closure activities to achieve high-performance, timing-clean designs\n* Participate in design reviews, sign-off processes, and tapeout preparation\n* Partner with Verification and Emulation teams on test plans, coverage reviews, and debug\n* Ensure quality and reliability validation\n* Cross-functional collaboration with Product Definition, Verification, Software, and Physical Design teams\nBasic qualifications\n- BSc in Electrical Engineering / Computer Engineering / Computer Science\n- Hands-on experience in microarchitecture and RTL design (Verilog / SystemVerilog)\n- Fluent English\nPreferred qualifications\n- Knowledge of scripting languages including Python and Tcl\n- Experience collaborating with Verification teams\n- Familiarity with industry-standard protocols such as AXI, PCIe, Networking, Encryption, or Storage\n- Experience across the end-to-end chip development lifecycle, from design through validation and production\n- Familiarity with UVM-based verification environments\n- Strong communication and collaboration skills\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. 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