ML Engineer, Normal Computing

• This is a demanding job, requiring both strong software engineering skills, creativity with probabilistic ML, and the ability to dive deep into domain-specific tribal understanding. Knowledge of semiconductor design and manufacturing is a plus
• We welcome candidates of all experience levels, from mid-level and up
• 4+ years of experience with deep learning frameworks like Pytorch, Tensorflow, Jax
• Rich ownership of the “full stack” when it comes to designing, training, evaluating and deploying machine learning models, especially large language models
• Experience with generative models for various modalities
• Familiarity with cloud infrastructure and deploying ML models from ideation to production
• Ability to handle and preprocess large datasets, including time-series and sensor data
• Excellent problem-solving skills and a strategic mindset for identifying valuable solutions
• Proactive and adaptable mindset, thriving in a dynamic environment, including a transparent and open communication style

Desirable

• We are looking for Machine Learning Engineers to build systems for distilling diverse hardware engineering data and logic into complex human-centric automation
• You'll work closely with our research scientists, software engineers, and product teams to advance our full-stack products for hardware engineering
• Develop and deploy state-of-the-art AI models for problems in hardware engineering with complex logical and uncertainty-bound constraints
• Evaluate state-of-the-art Bayesian and non-Bayesian approaches to reliable deep learning and formal verification of AI systems
• Set up experimentation tools and synthetic data infrastructure to support rapid experimentation and iteration, with a clear path to production deployment
• Create showtime-ready benchmarks to continually measure quality and robustness of solutions relative to baselines
• Architect systems around open source foundation models to process a variety of modalities and rich symbolic logic, including multi-modal hardware descriptive documents, schematics, customer service logs, and tabular data
• Collaborate with cross-functional teams to integrate AI solutions into our products and services