Top Tech Jobs & Startup Jobs

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.

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.

Lead the development and optimization of software kernels for AI compute engines, collaborating with hardware and ML experts to productize innovative solutions.

Lead the development of the distributed systems software stack for AI hardware, collaborating with various teams to optimize software deliverables.