{"id":194122,"url":"https://alion.io/job/nvidia-senior-machine-learning-engineer-accelerated-apache-spark","title":"Senior Machine Learning Engineer, Accelerated Apache Spark","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":80,"open_postings":805,"ghost_share":0.024,"stale_share":0.732,"repost_share":0.043,"time_to_fill_p50_days":35,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":224000,"max":356500,"currency":"USD","period":"year","gross":null,"usd_annual":356500},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Scala","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-09-01T00:00:00Z","employer_posted_date":"2026-09-01","last_verified_at":"2026-10-24T08:48:21Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":54},"description":"NVIDIA is looking for a Machine Learning Engineer to join the GPU accelerated Apache Spark team.\nApache Spark is the most popular data processing engine in data centers for running massive scale workloads for ETL, SQL, and ML/DL model training and inference pipelines, spanning many domains and use cases. NVIDIA GPUs offer a promising avenue for significantly speeding up and/or lowering the cost of running very large Apache Spark applications. You will work with the open source community to accelerate Apache Spark with GPUs. You will apply the latest ML/AI methods to empower enterprises to migrate Spark workloads onto GPUs at scale.\nWhat you’ll be doing:\nDesign and implement machine learning solutions for performance prediction and optimization of GPU accelerated enterprise Apache Spark workloads.\n\nDevelop advanced algorithms and adaptive systems to continuously improve the performance of Apache Spark workloads on GPUs.\n\nDevelop AI-based agents and tools to assist with fixing system issues and application optimization.\n\nCollaborate with key partners and customers on the deployment of complex machine learning solutions in various environments.\n\nMaintain deep domain expertise by knowing the latest published advances in ML systems and algorithms.\n\nProvide technical mentorship and leadership in data science and machine learning to a team of engineers.\n\nWhat we need to see:\nBS, MS, or PhD or equivalent experience in Machine Learning, Data Science, Computer Science or a closely related field.\n\n12+ years of professional experience in designing, implementing, and productionizing high-quality ML/DL solutions.\n\n3+ experience as technical lead in ML model development.\n\nProven hands-on experience (2+ years) with large-scale data processing platforms, such as Apache Spark.\n\nProven ability to employ modern tooling and sound techniques for all aspects of crafting, deploying, and maintaining machine learning models.\n\nExcellent programming skills in Python and Python data science related libraries like numpy, pandas, scikit-learn, scipy, pytorch, and tensorflow.\n\nDeep experience with sophisticated ML methodologies, including LLM/GenAI, reinforcement learning, and adaptive, on-line ML systems.\n\nStrong expertise in feature engineering, feature importance assessment, and developing boosted tree model solutions (e.g., XGBoost).\n\nWays to stand out from the crowd:\nUnderstanding of the internal workings and architecture related to Apache Spark.\n\nFamiliarity with NVIDIA GPUs and CUDA.\n\nExperience coding in Scala, Java, and/or C++.\n\nNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and dedicated people in the world working for us. If you are passionate about what you do, creative and autonomous, we want to hear from you!\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until September 5, 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":3661,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":true},"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":"2026-09-03T06:39:18Z"}],"visa":[],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":1,"p_active":0.52,"p_room":0.36,"age_days":54,"expected_fill_days":35,"reasons":["conf:21","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":{"stated_usd_annual":356500,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-senior-machine-learning-engineer-accelerated-apache-spark","json_url":"https://alion.io/job/nvidia-senior-machine-learning-engineer-accelerated-apache-spark.json","meta":{"generated_at":"2026-10-25T22:04:47Z","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":31166,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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-senior-machine-learning-engineer-accelerated-apache-spark"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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-senior-machine-learning-engineer-accelerated-apache-spark"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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-senior-machine-learning-engineer-accelerated-apache-spark"},{"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-senior-machine-learning-engineer-accelerated-apache-spark\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-senior-machine-learning-engineer-accelerated-apache-spark"}]}