Develop robotic software frameworks for integrating AI models with robotic systems, optimizing software performance, and collaborating with researchers.

Lead algorithm development for AMRs and SLAM. Integrate multi-modal sensors for navigation, supervise AI systems, mentor teams, and ensure customer success.

Manage a portfolio of R&D and innovation programs in hardware and software, focusing on operational efficiency and stakeholder collaboration.

The Senior Product Applications Engineer will support the development and validation of robotic systems, focusing on humanoid applications while collaborating with various teams and engaging with customers.

The role involves designing, testing, and maintaining embedded software for edge computing systems, collaborating with cross-functional teams, and building automated data collection systems.

Seeking a Senior Robotic Sensor Engineer to design and prototype sensors for AI-powered robotic manipulation, collaborating with a multidisciplinary team.

Design silicon systems for Life Sciences platforms, leading architecture, developing prototypes, and collaborating with cross-disciplinary teams to solve complex problems.

The engineer will develop multimodal reasoning models, engage in the research lifecycle, prototype using Python, and document results for AI applications.

The Staff Research Scientist will develop AI algorithms, software simulations, and lead hardware prototyping in a collaborative research team setting.

Develop innovative AI algorithms, create software simulations, lead hardware prototyping, and collaborate on advanced solutions in AI applications.

Lead ML strategy and architecture, develop novel enterprise-scale ML solutions, influence organization-wide technical decisions, guide ML practices, and build high-performing teams to deliver breakthrough AI/ML systems.

Lead enterprise-scale AI/ML strategy and architecture, develop novel ML solutions for complex problems, guide organization-wide ML practices and standards, influence technical decisions, and build and lead high-performing cross-functional ML teams to drive innovation and business impact.

As a Principal Engineer specializing in AI/ML, you'll define the technology strategy, lead cross-functional initiatives, and develop innovative ML solutions while influencing technical decisions across the organization.

The Principal AI/ML Software Engineer drives ML technology strategy and innovation, develops solutions for complex problems, and leads cross-functional initiatives while shaping the technical vision and architectural frameworks for AI/ML.

Lead the design and development of advanced mixed-signal SoC platforms for industrial automation and robotics. Collaborate with cross-functional teams on system integrations, focusing on cybersecurity, motion control, and compliance with safety standards.

Develop and evaluate multimodal reasoning models using deep learning for AI applications. Engage in the full research lifecycle, prototype models, and document findings.

The Product Manager will lead product strategy and marketing for embedded technology, ensuring alignment with customer needs and engaging with ecosystem communities to drive adoption.

Lead systems engineering for Analog Garage programs, define system requirements, drive prototyping and integration by collaborating across disciplines, and mentor team members.

Lead the development of robot learning models, design simulation environments, optimize policies for real-world robots, and contribute to data lifecycle management.

Develop core AI technologies for robotics, focusing on advanced learning algorithms, simulations, data collection, and staying updated on ML and robotics advancements.