{"id":1728888,"url":"https://alion.io/job/nvidia-senior-field-application-engineer","title":"Senior Field Application Engineer","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":89,"open_postings":299,"ghost_share":0.017,"stale_share":0.381,"repost_share":0.033,"time_to_fill_p50_days":29,"computed_at":"2026-10-03T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":56000,"max_usd":125000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3947},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Linux","optional":false}],"status":"live","first_seen_at":"2026-10-02T23:07:18Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-04T00:54:03Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"We are currently seeking a Senior Field Applications Engineer focused on production at scale to join our dedicated and hardworking team. At NVIDIA, we are leading the AI computing revolution, creating innovative deep learning solutions that are transforming industries globally. As a member of our team, you will play a vital role in ensuring the reliability, manufacturability, and quality of our GPU products across production and deployment environments. If you have a strong passion for root cause analysis, yield improvement, and working with cross-functional engineering teams, this is an excellent opportunity for you to make a meaningful contribution!\nLocal to Guadalajara is strongly preferred.\n What you'll be doing:\nBe a technical specialist on GPU and networking products, directly supporting manufacturing, quality, and failure analysis teams to improve product reliability and yield.\nActively establish and nurture technical relationships with internal engineering teams, manufacturing partners, and quality teams.\n Identify system failure modes, manufacturing risks, and product requirements to drive corrective actions and design/process improvements. \nFrequent on-site presence in labs or manufacturing sites to diagnose, reproduce, and resolve hardware and system-level failures. \nSupport the product lifecycle from NPI (New Product Introduction) through high-volume manufacturing and field returns, ensuring quality, reliability, and continuous improvement.\n Develop failure analysis methodologies, test plans, and diagnostic tools for hardware validation. \nProvide technical training and documentation to manufacturing, test, and quality teams on failure modes and debugging techniques. \nEstablish strong communication channels and collaborative relationships with cross-functional teams (design, validation, manufacturing and quality) to drive issue resolution, root cause determination, and corrective actions. \nWhat we need to see:\nBS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience). \n5+ years of work-related experience in the high-tech electronics industry, particularly in manufacturing, failure analysis, validation, or hardware debug roles. \nCapable of excelling in a dynamic, constantly evolving environment. \nStrong ability to manage multiple failure investigations, escalations, and yield improvement initiatives. \nExpert analytical and problem-solving abilities. \nStrong time management and organizational skills for coordinating complex failure analysis and cross-functional investigations. \nExcellent written and oral communication skills in English, with the ability to clearly present failure analysis results and collaborate effectively with cross-functional engineering teams and management. \nWays to stand out from the crowd:\nExperience with ARM and NVIDIA GPU development. \nKnowledge of Embedded Linux Systems, APIs, and system-level debugging tools for root cause analysis.\nExperience working with manufacturing partners, ODMs/OEMs, or reliability/quality teams in high-volume production environments. \nIn-depth understanding of CPU/GPU architecture and system-level failure mechanisms.","description_format":"text","description_chars":3181,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Mexico","iso":"MX","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-02T23:07:18Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":29,"reasons":["conf:6","velocity","win:early","comp:brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/nvidia-senior-field-application-engineer","json_url":"https://alion.io/job/nvidia-senior-field-application-engineer.json","meta":{"generated_at":"2026-10-04T01:28:05Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1899,"day_limit":5000,"remaining_today":3101,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}