Altera is a global leader in programmable logic solutions, delivering high performance FPGA technology that powers next generation cloud, networking, and edge applications. With a renewed focus on agility, software first usability, and hardware accelerated innovation, Altera is shaping the future of computing. Join us as we build the next wave of AI optimized FPGA platforms and tools!

About the Role

We are seeking a Machine Learning Engineer to help drive the development, optimization and deployment of Altera FPGA Compiler. In this role, you will work at the intersection of machine learning and compiler/toolchain development, enabling customers to achieve breakthrough performance and efficiency on programmable logic.

You will collaborate closely with hardware architects, software engineers, and IP developers to design ML models, optimize inference pipelines, and contribute to the evolution of Altera’s FPGA Compiler.

Key Responsibilities

• Develop, optimize, and deploy advanced machine learning technologies to enhance FPGA compiler performance, focusing on timing closure, resource utilization, and power efficiency.

• Evaluate and integrate emerging ML models (e.g., graph neural networks, reinforcement learning) and frameworks (e.g., PyTorch, TensorFlow) for compiler optimization tasks like placement, routing, and logic synthesis.

• Build robust tools, scripts, and CI/CD workflows to automate model conversion, quantization, pruning, and deployment within the FPGA design flow, ensuring compatibility with EDA tools like Quartus.

• Collaborate with customers, FPGA architects, and internal engineering teams to gather ML requirements, define success metrics, and deliver tailored, production-ready solutions.

• Design and execute comprehensive benchmarks to measure ML-optimized compiler performance across diverse FPGA families (e.g., Agilex, Stratix), analyzing metrics such as compile time, QoR, and scalability.

Salary Range

The pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.

$200.4K - $290.1K USD

We use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations.