The Staff Design Verification Engineer will lead SoC verification efforts, utilize methodologies like UVM/OVM, and work on cutting-edge AI-focused architecture with an experienced team.

Responsible for runtime firmware development for AI inference processors, optimizing low-level functionality, collaborating with hardware teams, and validating silicon performance.

The IT Support Specialist will provide technical support, manage Microsoft 365 administration, handle employee onboarding, and maintain IT asset management.

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 Runtime Engineer will develop and validate runtime software for an AI inference processor, collaborating with hardware teams and overseeing performance optimization of silicon products.

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.

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

The Office Administrator supports the CEO Office by managing calendars, scheduling, travel arrangements, expense reports, and event logistics, ensuring efficient operations within an executive environment.

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

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.

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

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

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.

The AI Hardware Architect will design and evaluate next-generation AI hardware, manage workload characterization, and optimize architectural features involving hardware-software co-design.

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.

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 Machine Learning Engineer will design, build, and optimize ML deployment pipelines, enhance inference frameworks, and collaborate to improve model performance and efficiency.