Lead Software Engineer, ML/RL for robotics

Cadence; San Jose (CA); Sur place; USD 119 000 - 221 000; Plein temps

Résumé du poste

Cadence in California is seeking to advance simulation technology for physical AI and robotics. You will connect learning environments with Cadence’s engineering-grade simulators to accelerate deployment for robotics applications.The role emphasizes ML and DL methods, with opportunities for PhD-level research and impact on multiple physics domains; the compensation includes salary ranges, incentives, equity, and comprehensive benefits.

Qualifications

• Degree in computer science, mechanical engineering, or a related discipline.
• Experience and expertise in machine learning, reinforcement learning, and/or vision-language models (VLMs) or vision-language-action models (VLAs).

Responsabilités

• Develop simulation technology supporting physical AI and robotics applications.
• Integrate learning environments with Cadence’s existing engineering-grade simulators.
• Enable learning workflows that leverage simulation capabilities across dynamics, structures, fluids, and thermal applications.
• Support the use of integrated learning and simulation environments to accelerate deployment for robotics applications.

Connaissances

Machine Learning

Reinforcement Learning

Vision-Language Models

Vision-Language-Action Models

Formation

Bachelor or higher degree in Computer Science, Mechanical Engineering, or related discipline

PhD in Computer Science, Mechanical Engineering, or related discipline

Description du poste

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Help advance simulation technology for physical AI and robotics at Cadence. Cadence develops engineering-grade simulators for dynamics, structures, fluids, and thermal applications. In this role, you will connect learning environments with existing simulators to accelerate deployment for robotics applications, bringing engineering simulation and AI-driven learning together.

Key Responsibilities

• Develop simulation technology supporting physical AI and robotics applications.
• Integrate learning environments with Cadence’s existing engineering-grade simulators.
• Enable learning workflows that leverage simulation capabilities across dynamics, structures, fluids, and thermal applications.
• Support the use of integrated learning and simulation environments to accelerate deployment for robotics applications.

Required Qualifications

• Degree in computer science, mechanical engineering, or a related discipline.

Preferred Qualifications

• Experience and expertise in machine learning, reinforcement learning, and/or vision-language models (VLMs) or vision-language-action models (VLAs).
• PhD in computer science, mechanical engineering, or a related discipline.

The annual salary range for California is $119,000 to $221,000. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.

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