Machine Learning Jobs in Santa Clara, CA

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.

Design, implement, and evaluate perception algorithms and 4D world representations for autonomous vehicles. Train and deploy ML and computer vision models from data collection to production, test on real vehicles, and collaborate with data, behavior, and research teams to deliver production-ready autonomy software.

Design and implement low-speed motion planning and control modules for autonomous vehicles, characterize vehicle dynamics to close sim-to-real gaps, evaluate academic research, and build optimal-control solutions (e.g., nonlinear MPC, MPPI) deployable on production vehicle platforms.

Design and ship deterministic, safety-critical classical or ML motion planners for fallback and minimal-risk maneuvers. Build planners for degraded perception and partial observability, evaluate behavior at scale using simulation and real-world data, develop metrics and analysis tools, and collaborate with perception, prediction, controls, safety, and remote assistance teams to deliver a reusable fallback platform.

Lead development and deployment of high-performance motion planning modules for autonomous vehicles. Mentor engineers, set technical direction, integrate perception, prediction, and lightweight maps, optimize performance, establish testing/validation for production hardware, and manage customer engineering relationships to align deliverables with autonomy goals.

Lead and grow an engineering team building scalable behavior systems for L2/L4 autonomous vehicles. Own architecture and delivery of safety-critical behavior planning across diverse driving domains, collaborate with Perception, Research, Simulation, and Vehicle Operations, mentor engineers, and drive technical and business decisions for production autonomy systems.

Design and execute validation strategies for autonomy modules (perception, planning, prediction, localization) for L4 trucking. Build datasets from simulation and real-world data, develop ML/statistical models and pipelines to measure safety performance, produce metrics, safety cases, and release recommendations.

Develop high-performance motion planning modules for onroad autonomous vehicles, integrating lightweight maps and perception outputs. Ship production C++ code, deploy to vehicle hardware, test on road, and collaborate with customers to meet diverse operational design domains.

Develop and execute automated software tests and test protocols for a robotic surgical platform; contribute to CI/CD pipelines, test plans, reliability verification, data analysis, issue logging, cross-functional debugging, and generate dashboards and executive summaries.

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.

Develop reusable ML tooling and libraries, collaborate with data scientists to productionize models, build services and APIs (Docker/Linux), follow engineering best practices, and support project lifecycle from intake to maintenance.

Join the AI team to develop and deploy real-time perception and deep learning models for autonomous vehicles. Build and optimize data pipelines, research object detection, segmentation, road understanding, motion prediction, and apply multi-modal sensor fusion for robust onboard perception.

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

Serve as a FortiGuard threat intelligence SME to engage executives, support sales, create labs/CTFs, perform malware analysis/reverse engineering, develop demos and training, and present thought leadership. Collaborate with FortiGuard R&D and SE teams to position Fortinet solutions, enable SecOps engagements, and drive major account opportunities while traveling frequently and mentoring internal teams.

Lead threat intelligence research, build cyber labs and demos, develop CTFs, perform malware reverse engineering and threat hunting, and support presales and executive briefings. Produce thought leadership, train and mentor SEs, and enable SecOps engagements to showcase Fortinet/FortiGuard defenses and adversarial AI mitigations.

The V&V Test Engineer will evaluate autonomy performance in autonomous driving systems, develop validation strategies, and analyze data for safety evaluations.

Lead performance measurement and release management for the core autonomy stack across passenger, trucking, and mining programs. Define reliability metrics and forecasts, coordinate end-to-end releases to downstream teams, prioritize engineering projects to improve driving performance, and build reporting and dashboards for engineering and customer-facing teams.

Develop data-analysis pipelines bridging ultrasound, synthetic biology, imaging and sequencing. Collaborate with wet-lab and ML teams to define objectives, encode priors, run ML pipelines for de-novo design and closed-loop active learning, and produce actionable insights to accelerate molecule discovery and device optimization.

Lead Wayve's new Application Engineering team to develop autonomous driving technology for the US market, focusing on robotics and machine learning systems.

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.

Design and implement perception capabilities within a core simulation engine to detect uncertainty, degradation, and failures. Build multi-fidelity sensor simulation and workflows, define uncertainty signals that trigger safe fallback behavior, collaborate with infrastructure and sensor teams, and deploy production systems affecting vehicle safety and ODD expansion.

The role involves developing new methodologies for advertising conversion modeling using advanced machine learning techniques, supporting various quantitative research aspects. Candidates should have extensive experience in statistical and deep learning methodologies, contribute to research, and build generative models for ad optimization.

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.

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.

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