{"id":4296106,"url":"https://alion.io/job/tensorwave-ml-performance-engineer","title":"ML Performance Engineer","company":{"id":6823,"name":"TensorWave","domain":"tensorwave.com","url":"https://alion.io/company/tensorwave","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Las Vegas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"DeepSpeed","optional":false},{"name":"FSDP","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Megatron-LM","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SLURM","optional":false}],"status":"live","first_seen_at":"2026-11-13T23:20:23Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-14T01:17:56Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About TensorWave\nOur mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.\nAbout the Role\nWe're looking for an ML Performance Engineer to join our MLOps team. You will validate new clusters by running large-scale training and inference workloads, help improve our managed Kubernetes and Slurm platforms through hands-on use, and produce performance benchmarks for customers and the broader market.\nWhat You’ll Do\nValidate new cluster deployments by running large-scale training and inference workloads before customer handoff\n\nIdentify, reproduce, and diagnose performance and reliability issues, working with infrastructure and platform teams to resolve them\n\nUse our managed Kubernetes and Slurm platforms the way our customers do, and provide feedback that improves them\n\nRun model benchmarks across training and inference, both for internal and external use\n\nBuild tooling and repeatable workflows for validation and benchmarking\n\nStay current with distributed training and inference frameworks and their performance on AMD Instinct GPUs\n\nWork with larger MLOps team to help support customer clusters and workloads\n\nWho You Are\nRequired Qualifications\nBachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience\n\n3+ years of experience running ML workloads on GPU clusters\n\nHands-on experience with distributed training using frameworks such as PyTorch FSDP, Megatron-LM, DeepSpeed, or torchtitan\n\nWorking knowledge of Slurm and Kubernetes from a user and workload perspective\n\nExperience profiling and optimizing GPU workloads, including collective communication performance\n\nStrong Python skills and solid Linux fundamentals\n\nClear written communication of performance findings to engineering and non-technical audiences\n\nWhat We Offer\nStock Options\n\n100% paid Medical, Dental, and Vision insurance for Employees\n\nCompany Health Savings Account Contributions\n\n100% paid Short Term and Long Term Disability Insurance for Employees\n\nLife and Voluntary Supplemental Insurance Options\n\nOther Insurance Options, such as Pet & Legal Insurance\n\nVarious Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support\n\nFlexible Spending Account\n\n401(k)\n\nEmployee Assistance Program\n\nFlexible PTO\n\nPaid Holidays\n\nParental Leave\n\nOther In-Office Perks\n\nEqual Employment Opportunity\nTensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.\nReasonable Accommodations\nTensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact .\nEmployment Eligibility\nAll offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.\nBackground Checks\nWhere permitted by law, employment may be contingent upon the successful completion of a job-related background check.\nData Privacy Notice\nBy submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.","description_format":"text","description_chars":3626,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Parental leave","Stock options","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cloud Platforms (IaaS & PaaS)","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-11-14T01:17:56Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":152500,"route":null,"cap_exempt":false,"checked_at":"2026-11-12T07:36:15+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":1}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":35,"reasons":["conf:1","win:early"],"computed_at":"2026-11-14T02:40:30Z"},"pay":null,"html_url":"https://alion.io/job/tensorwave-ml-performance-engineer","json_url":"https://alion.io/job/tensorwave-ml-performance-engineer.json","meta":{"generated_at":"2026-11-14T02:40:30Z","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":3639,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-15T00:00:00Z"}},"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":6823},"rest":"https://alion.io/mcp/rest/get_company?id=6823"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftensorwave-ml-performance-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Ftensorwave-ml-performance-engineer"},{"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%2Ftensorwave-ml-performance-engineer"},{"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/tensorwave-ml-performance-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftensorwave-ml-performance-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4296106}},{"tool":"search_jobs","arguments":{"company":"tensorwave.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4296106},"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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