{"schemaVersion":"jobsearcher.job.v1","id":"8f718e429b56b9460b819721","url":"https://jobsearcher.com/jobs/8f718e429b56b9460b819721","canonicalUrl":"https://jobsearcher.com/jobs/8f718e429b56b9460b819721","title":"Machine Learning Systems Engineer","description":"About VoltaiVoltai is the leading AI company building agentic systems and frontier foundation models for semiconductor and electronics design. Backed by Sequoia Capital, we’re putting AI in the hands of hardware engineers in over 70% of the world’s largest semiconductor and electronics companies to have effortless control over their next-generation chip and board designs, powering the future of automotive, industrial automation, consumer electronics, IoT, and semiconductor manufacturing.\r\nAbout the TeamOur founding team consists of IOI/IPhO olympiad medalists, Stanford professors, ex-CTO of Synopsys, and our business leadership has scaled revenue in their previous companies to over $1.5bn. At Voltai, we are combining the world’s best talent in the intersection of software and hardware.\r\nKey ResponsibilitiesDesign and maintain high-performance ML pipelines for training, evaluation, and inference of LLMs and retrieval-augmented systems, with a focus on hardware efficiency and throughput\r\nOptimize core transformer operations at the kernel level, designing and tuning custom kernels and low-level implementations for GPU-accelerated workloads\r\nImplement and integrate low-precision computation techniques to reduce memory footprint and accelerate inference with minimal accuracy degradation\r\nBuild and maintain inference engines for on premises deployments\r\nArchitect distributed training and inference systems\r\nCollaborate closely with researchers and infra teams to bring cutting-edge model innovations into production\r\nInterface directly with enterprise hardware environments, tuning performance based on real-world deployment constraints\r\nRequired Skill SetsLanguages:Expertise in C, C++, or Rust\r\nDesign and Optimize CUDA Kernels for LLMs : Develop and fine-tune custom CUDA kernels to accelerate core transformer operations\r\nImplement Low-Precision Computation Techniques : Apply quantization methods like AWQ and GPTQ to reduce model size and inference latency. Ensure minimal accuracy loss while maximizing throughput on GPU architectures with familiarity with concepts like GGUF and GGML\r\nDevelop and Maintain High-Performance Inference Systems : Build, improve, and maintain inference engines such as vLLM, SGLang, and TensorRT with a focus on low-latency and high throughput\r\nArchitect Distributed Training and Inference Solutions : Design systems that support model parallelism (tensor, pipeline, expert etc) to enable efficient training and inference across multiple GPUs and nodes\r\nIntegrate Research into Production Systems : Translate cutting-edge research findings into robust, production-ready systems. Ensure that innovations in model architectures and optimization techniques are effectively deployed.\r\nMonitor and Optimize System Performance : Implement monitoring tools to track system metrics, identify bottlenecks, and optimize performance\r\nBonus PointsSome background in hardware/electronics, gained through professional, academic, or personal projects\r\nContributions to open-source initiatives\r\nNotable awards or publications in leading journals/conferences\r\nExperience thriving in a fast-paced, hyper-growth startup environment\r\nOur BenefitsUnlimited PTO:Recharge when you need it, no questions asked.\r\nComprehensive Health Coverage:Medical, dental, and vision insurance for you and your dependents.\r\nFree Meals and Snacks:Daily lunches, dinners, and snacks in the office.\r\nProfessional Growth:We invest in your continuous learning and offer opportunities to expand your skills.\r\nVisa Sponsorship:We welcome global talent and provide visa sponsorship to support qualified candidates.#J-18808-Ljbffr","company":"Voltaicom","rawCompany":"voltaicom","city":"Edison","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-04T02:34:46.538Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Systems Engineer","description":"About VoltaiVoltai is the leading AI company building agentic systems and frontier foundation models for semiconductor and electronics design. Backed by Sequoia Capital, we’re putting AI in the hands of hardware engineers in over 70% of the world’s largest semiconductor and electronics companies to have effortless control over their next-generation chip and board designs, powering the future of automotive, industrial automation, consumer electronics, IoT, and semiconductor manufacturing.\r\nAbout the TeamOur founding team consists of IOI/IPhO olympiad medalists, Stanford professors, ex-CTO of Synopsys, and our business leadership has scaled revenue in their previous companies to over $1.5bn. At Voltai, we are combining the world’s best talent in the intersection of software and hardware.\r\nKey ResponsibilitiesDesign and maintain high-performance ML pipelines for training, evaluation, and inference of LLMs and retrieval-augmented systems, with a focus on hardware efficiency and throughput\r\nOptimize core transformer operations at the kernel level, designing and tuning custom kernels and low-level implementations for GPU-accelerated workloads\r\nImplement and integrate low-precision computation techniques to reduce memory footprint and accelerate inference with minimal accuracy degradation\r\nBuild and maintain inference engines for on premises deployments\r\nArchitect distributed training and inference systems\r\nCollaborate closely with researchers and infra teams to bring cutting-edge model innovations into production\r\nInterface directly with enterprise hardware environments, tuning performance based on real-world deployment constraints\r\nRequired Skill SetsLanguages:Expertise in C, C++, or Rust\r\nDesign and Optimize CUDA Kernels for LLMs : Develop and fine-tune custom CUDA kernels to accelerate core transformer operations\r\nImplement Low-Precision Computation Techniques : Apply quantization methods like AWQ and GPTQ to reduce model size and inference latency. Ensure minimal accuracy loss while maximizing throughput on GPU architectures with familiarity with concepts like GGUF and GGML\r\nDevelop and Maintain High-Performance Inference Systems : Build, improve, and maintain inference engines such as vLLM, SGLang, and TensorRT with a focus on low-latency and high throughput\r\nArchitect Distributed Training and Inference Solutions : Design systems that support model parallelism (tensor, pipeline, expert etc) to enable efficient training and inference across multiple GPUs and nodes\r\nIntegrate Research into Production Systems : Translate cutting-edge research findings into robust, production-ready systems. Ensure that innovations in model architectures and optimization techniques are effectively deployed.\r\nMonitor and Optimize System Performance : Implement monitoring tools to track system metrics, identify bottlenecks, and optimize performance\r\nBonus PointsSome background in hardware/electronics, gained through professional, academic, or personal projects\r\nContributions to open-source initiatives\r\nNotable awards or publications in leading journals/conferences\r\nExperience thriving in a fast-paced, hyper-growth startup environment\r\nOur BenefitsUnlimited PTO:Recharge when you need it, no questions asked.\r\nComprehensive Health Coverage:Medical, dental, and vision insurance for you and your dependents.\r\nFree Meals and Snacks:Daily lunches, dinners, and snacks in the office.\r\nProfessional Growth:We invest in your continuous learning and offer opportunities to expand your skills.\r\nVisa Sponsorship:We welcome global talent and provide visa sponsorship to support qualified candidates.#J-18808-Ljbffr","datePosted":"2026-10-04T02:34:46.538Z","dateModified":"2026-10-04T02:34:46.538Z","hiringOrganization":{"@type":"Organization","name":"Voltaicom","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Edison","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8f718e429b56b9460b819721"},"url":"https://jobsearcher.com/jobs/8f718e429b56b9460b819721"}}