{"id":4046831,"url":"https://alion.io/job/nvidia-solutions-architect-open-models","title":"Solutions Architect, Open Models","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":"B","score":83,"open_postings":811,"ghost_share":0.026,"stale_share":0.583,"repost_share":0.06,"time_to_fill_p50_days":42,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Solutions","role_family":"Solutions","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":["Santa Clara, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":124000,"max":195500,"currency":"USD","period":"year","gross":null,"usd_annual":195500},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"DeepSeek","optional":false},{"name":"DPO","optional":false},{"name":"GRPO","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"LoRA","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NVIDIA NeMo","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"PEFT","optional":false},{"name":"Post-training","optional":false},{"name":"PPO","optional":false},{"name":"Qwen","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"SFT","optional":false},{"name":"SLURM","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-11-10T00:00:00Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-11T05:48:05Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"We’re hiring a Solutions Architect to join our AI Software Segment Solutions Architecture team, focused on open-weight AI models. In this role, you’ll support customer-facing technical engagements and help connect real-world workloads to NVIDIA’s hardware and software ecosystem. We’re looking for someone who is technically curious, eager to develop deep expertise in NVIDIA platforms, and excited to grow into a trusted technical resource for customers and partners. If you’re passionate about applied technology and want to learn from some of the best engineers in the world, we’d love to hear from you.\nWhat You’ll Be Doing:\nSupport technical engagements with customers and partners. helping to understand their workloads and identify how NVIDIA’s technology stack can address their needs, under the mentorship of senior team members.\nParticipate in the design and validation of scalable architectures, assisting in the development of integration plans and deployment approaches for customer and partner solutions.\nEngage hands-on with technical topics-building, testing, and validating solutions that help customers and partners get started with and scale NVIDIA technologies.\nHelp document and communicate customer and partner needs and technical feedback, supporting the relay of field insights to internal product and engineering teams.\nCollaborate with engineering and product teams to understand NVIDIA’s solutions and support successful customer deployments.\nRun end-to-end post-training programs with enterprise customers. This includes supervised fine-tuning, reinforcement learning (GRPO, DPO, PPO), LoRA / PEFT, data curation, synthetic data generation, reward design, and evaluation design.\nBuild evaluation environments that give customers an objective measure of post-training progress. These environments feed field signal back to Product and Research, improving the next generation of NVIDIA’s open-weight models.\nTranslate hands-on work into reusable recipes, reference pipelines, and playbooks. These let other NVIDIA teams, customers, and partners run post-training and evaluation themselves.\nWhat We Need to See:\nBachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, Mathematics, Physics, Data Science, or a related field.\n2-5+ years of professional experience in software/hardware engineering, developer relations, technical partnerships, solutions architecture, or a related technical field - with some hands-on exposure to open-weight model customization and the AI/ML systems ecosystem.\nFoundational technical knowledge in AI/ML, particularly post-training, reinforcement learning, LoRA / PEFT, data curation, and evaluation, with a proven curiosity about building expertise and contributing to technical solutions.\nAbility to communicate technical concepts clearly to both technical and non-technical audiences, with a desire to grow this skill across more complex topics and senior collaborator levels.\nStrong problem-solving skills, intellectual curiosity, and a genuine passion for aiding customers succeed with technology.\nProven ability to form relationships with customers or partners, with a curiosity about developing the technical credibility and trust needed to support complex product decisions.\nProficiency with agent-assisted model training workflows. Comfortable using AI agents such as Claude Code, Cursor, or Codex to build, debug, and iterate on training and evaluation pipelines. 3+ years of Linux experience, including comfort launching training and evaluation jobs on SLURM or Kubernetes.\nWays to Stand Out from the Crowd:\nA hands-on technical problem solver who can clearly articulate how technology works and apply that understanding to real customer challenges.\nEarly experience supporting customers and partners in adopting new technologies or platforms, with a passion for enabling others to succeed.\nExperience with and/or contributions to open-source NVIDIA AI libraries and models, particularly Nemotron, NeMo, NeMo-RL, and NeMo Gym.\nHands-on experience designing agent environments, synthetic data pipelines, and verifiable rewards for RL post-training, or using serverless post-training APIs such as Tinker.\nHands-on experience customizing open-weight models (Nemotron, Qwen, DeepSeek, GLM, Kimi), or AI model training applied to multimodal data.\nYour base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:124,000 USD - 195,500 USD for Level 2; and 152,000 USD - 241,500 USD for Level 3.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until November 14, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.","description_format":"text","description_chars":5260,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-11-11T00:17:54Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 2,856 · green card filings: 799","filings_12m":2856,"filings_prev_12m":1684,"green_card_filings_12m":799,"median_offered_wage_usd":186407,"route":null,"cap_exempt":false,"checked_at":"2026-11-10T11:34:35+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":175}],"liveness":{"score":60,"band":"ok","label":"Likely open","p_open":1,"p_active":0.602,"p_room":1,"age_days":1,"expected_fill_days":42,"reasons":["conf:0","stale_co","win:early","comp:brand"],"computed_at":"2026-11-11T05:49:22Z"},"pay":{"stated_usd_annual":195500,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-solutions-architect-open-models","json_url":"https://alion.io/job/nvidia-solutions-architect-open-models.json","meta":{"generated_at":"2026-11-11T05:58:08Z","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":8218,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":6},"rest":"https://alion.io/mcp/rest/get_company?id=6"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnvidia-solutions-architect-open-models"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fnvidia-solutions-architect-open-models"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fnvidia-solutions-architect-open-models"},{"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/nvidia-solutions-architect-open-models\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-solutions-architect-open-models"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4046831}},{"tool":"search_jobs","arguments":{"company":"nvidia.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4046831},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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