Machine Learning Jobs in San Jose, CA

The Applied Scientist will drive research on efficient adaptive machine learning, deploy ML systems end-to-end, and contribute to product strategy, focusing on real-world impact and innovation.

The Developer Relations Manager will drive the adoption of NVIDIA's AI platforms in research labs, leveraging expertise in physics and AI while collaborating with various teams to enhance research outcomes.

The Senior Developer Relations Manager will engage with developer ecosystems in agriscience, driving the adoption of NVIDIA technologies through technical guidance, collaboration, and strategic advocacy. Responsibilities include advising on resources, onboarding partners, monitoring ecosystems, and collaborating across functions to promote successful integrations.

As a Staff AI Research Engineer, you will develop AI solutions, implement machine learning algorithms, benchmark techniques, and transition prototypes to production.

Design and implement real-time lane-fusion algorithms that combine multi-source perception and temporal data to produce stable 3D lane and road representations. Research solutions for occlusion, fragmentation, forks/merges, and construction zones. Build a 3D laneline pipeline with camera perception, optimize for low latency and high availability on safety-critical vehicle platforms, and collaborate with cross-functional teams to deploy on target systems.

Lead end-to-end design and modernization of CMS sales training by building scalable, competency-based curricula, AI-enabled personalized learning, LMS and virtual delivery ecosystems, and data dashboards that link training to field performance. Partner with sales, marketing, and medical affairs to elevate clinical and commercial capabilities and transform content into interactive, digitally enabled experiences that drive adoption and measurable impact.

Analyze and reduce RTL and pre‑silicon power for GPUs and networking chips using EDA tools and AI/ML. Run workloads, perform comparative power analysis, prototype Verilog features, debug power anomalies, and collaborate with architects, RTL designers, and physical design teams to drive power improvements.

Lead design and implementation of agentic workflows, optimization algorithms, and ML/DL solutions for EDA. Research novel ML approaches, develop and maintain software (APIs, C/C++, Python) on Linux, and collaborate with global cross-functional teams. Requires ML/DL framework experience (PyTorch) and LLM/agentic AI understanding.

Lead strategic GTM and co-selling initiatives with Google Cloud to drive NVIDIA AI adoption. Develop and maintain technical enablement assets, run developer activations and events, collaborate with Google Cloud field and engineering teams, convert samples into demos and labs, and translate customer feedback into product and roadmap insights.

Lead the development of AI applications, ensuring high reliability and performance while collaborating with teams to identify use cases and implement scalable solutions. Drive AI methodologies, governance, and continuous improvement in the organization.

Lead end-to-end data science within R&D: extract and analyze clinical and operational data, build and validate advanced ML/AI and LLM-integrated solutions, translate insights for stakeholders, mentor teams, and drive product innovation for Invisalign.

The Software Engineer, Perception develops autonomous aircraft systems to detect and manage wildfires using real-time data processing and machine learning techniques.

Own and deliver Auditoria's AP/P2P product: set strategy and OKRs, manage roadmap and prioritization, ship enterprise SaaS AI features, enable sales/partners, support pre/post-sales, and collaborate cross-functionally to meet revenue and customer success goals.

The role focuses on leading AI/ML architecture and deployment for scalable solutions in cloud security, shaping technical strategies, and managing the lifecycle of AI models.

Senior pre-sales engineer partnering with sales and channel partners to run technical demos, lead POCs, design solutions, and close large deals. Present to executives and technical audiences, build cloud ML/generative AI solutions, and advise on data architecture and Snowflake positioning.

Lead end-to-end semiconductor supply chain transformation by translating strategy into roadmaps, designing optimized processes, enabling Oracle ERP transformations, using analytics and AI, mentoring architects, and establishing governance to drive measurable business outcomes.

Lead GTM technical engagements with data-platform ISVs to design architectures, build POCs, benchmarks, and enablement for NVIDIA acceleration across analytics, databases, and GenAI workflows. Create reference assets, demos, and training while partnering with product, engineering, sales, and customers.

Design and implement internal software and data-collection tools for eHDD validation. Build ETL pipelines, web apps, analytics/ML models, and tooling that interface with firmware and low-level system layers. Work across Windows/Linux environments, databases, and distributed systems to automate tests, analyze servo-mechanical behavior, and accelerate HDD product development.

The Senior B2B Marketer will develop and execute marketing strategies, collaborate with Sales, create marketing materials, conduct research, and optimize marketing effectiveness to drive growth in the gaming and 3D industries.

The Senior Product Manager will lead the development of The Trade Desk's infrastructure, focusing on scalability, security, and optimizing complex systems to support high-performance workloads. Responsibilities include modernizing core systems and collaborating with cross-functional teams to enhance product capabilities and performance.

As an Automation Engineer, you'll build automation pipelines, collaborate on experimental needs, program instrumentation, and integrate with data science, enhancing research capabilities.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

Lead the Seller User Experience team, focusing on enhancing customer satisfaction through innovative technology solutions and user feedback. Collaborate with stakeholders and mentor teams to achieve superior user experiences.

As a Social Media Intern at Inception, you will manage social content across platforms, engage with AI discussions, participate in product launches, and create engaging video content. Aimed at students with a passion for AI and strong writing skills, the role offers direct access to the founding team and the potential for full-time conversion.

You will design and implement high-performance software while applying machine learning techniques to complex problems in electronic design automation.