Lead the integration and validation of d-Matrix accelerator cards in servers, collaborating with partners and teams for reliable deployment in data centers.

The Principal Software Technical Program Manager will manage AI hardware/software projects, ensuring delivery from ideation through launch, while coordinating with cross-functional teams to resolve issues and track progress.

The Software QA Engineer will develop test automation for d-Matrix components, enhance test infrastructure, and work on ML model testing.

As a Principal Runtime Systems Engineer, you'll lead the development of firmware for AI inference platforms, focusing on performance, documentation, and collaboration with hardware teams.

Looking for an Executive Assistant to support multiple executives by managing complex calendars, travel, and various administrative tasks in a fast-paced environment.

Lead the software development for AI compute engines, focusing on kernel code generation using LLMs and optimizing algorithms for hardware architectures.

Lead ATE Test solutions for complex silicon SoC products, develop test strategy, interact with manufacturing partners, and optimize production yield.

Responsible for architecture, development, and validation of firmware/software for AI inference on multiprocessor SoCs, ensuring runtime performance. Collaborate with hardware teams and deliver quality code.

The Senior Staff Product Quality and Reliability Engineer optimizes quality frameworks, drives reliability plans, implements quality control, and analyzes product performance data.

Design Verification Engineer role focusing on AI in a hybrid environment, requiring expertise in SoC verification methodologies and leadership in projects.

Develop and optimize a high-performance inference runtime integrating with PyTorch, collaborating with diverse teams and ensuring code quality.

Lead the analysis and optimization of performance for generative AI workloads, collaborating with internal and external stakeholders. Develop tools and provide guidance on performance improvements across the hardware and software stack.

Responsible for developing, enhancing, and maintaining software infrastructure to support ML accelerator systems. Requires extensive experience in DevOps and software infrastructure development.

Design and verify FPGA solutions for AI inference management, develop secure boot and power management features, and collaborate on hardware/software integration.

Design and develop micro-architecture and RTL for AI Control subsystems, focusing on performance, efficiency, and verification. Engage in silicon validation.

Design and implement AI infrastructure solutions, optimize deployments, integrate with cloud systems, develop monitoring frameworks, and collaborate with customers and teams.

This role involves architecting AI solutions, integrating with customer tools, and enhancing the d-Matrix Developer Cloud. Strong coding and AI application experience required.

Lead test planning and automation for AI compute engine, develop test cases and infrastructures, collaborate with development teams, and triage software bugs.

The ATE Test Engineer will develop and implement test strategies for silicon SoC products, oversee ATE programs, and collaborate with manufacturing partners to optimize testing and improve yields.

Design and implement a scalable MLIR-based compiler framework for cloud-based AI inference, collaborating with multiple teams to optimize model deployment.