Software Engineer, Staff - Kernels

Remote Full-time
At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. Location: Hybrid, working onsite at our Santa Clara, CA headquarters 3 days per week. The role: Software Engineer, Staff - Kernels What you will do: The role requires you to be part of the team that helps productize the SW stack for our AI compute engine. As part of the software team, you will be responsible for the development, enhancement, and maintenance of software kernels for next-generation AI hardware. You possess experience building software kernels for HW architectures. You possess a very strong understanding of various hardware architectures and how to map algorithms to the architecture. You understand how to map computational graphs generated by AI frameworks to the underlying architecture. You have had past experience working across all aspects of the full-stack toolchain and understand the nuances of what it takes to optimize and trade off various aspects of hardware-software co-design. You can build and scale software deliverables in a tight development window. You will work with a team of compiler experts to build out the compiler infrastructure, working closely with other software (ML, systems) and hardware (mixed signal, DSP, CPU) experts in the company. What you will bring: Minimum: • MS in computer engineering, math, physics, or a related degree with 7+ years of industry experience or PhD in computer engineering, math, physics, or a related degree with 1+ years of industry experience. • Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals. • Proficient in C/C++ and Python development in Linux environments and using standard development tools. • Experience implementing algorithms in high-level languages such as C/C++ and Python. • Experience implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, and AI accelerators using libraries such as CUDA, etc. • Experience in implementing operators commonly used in ML workloads—GEMMs, Convolutions, BLAS, SIMD operators for operations like softmax, layer normalization, pooling, etc. • Experience with development for embedded SIMD vector processors such as Tensilica. • Self-motivated team player with a strong sense of ownership and leadership. Preferred: • Prior startup, small team, or incubation experience. • Experience with ML frameworks such as TensorFlow and/orPyTorch. • Experience working with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc. • Experience with a deep learning framework (such as PyTorch or TensorFlow) and ML models for CV, NLP, or recommendation. • Work experience at a cloud provider or AI compute/subsystem company. #LI-DL1 Equal Opportunity Employment Policy d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day. d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation. Apply tot his job
Apply Now

Similar Opportunities

[Remote] Healthcare Specialist (AI Data Trainer, Part Time, WFH)

Remote Full-time

[Remote] Senior Software Engineer, MathDx – cuBLASDx and cuSolverDx

Remote Full-time

Software Engineer - Reliability

Remote Full-time

Software Engineer/ Agentic Products

Remote Full-time

Sr. Staff, Design Verification - CPU Cluster SoC

Remote Full-time

[Remote] Senior Product Manager (AI Health-Tech SaaS, Remote)

Remote Full-time

Gen AI Engineer with Healthcare

Remote Full-time

[Remote] Senior AI Engineer, R37

Remote Full-time

Account Executive – AI Software for Healthcare (East Coast Based, Remote)

Remote Full-time

[Remote] Prompt AI Typescript Developer

Remote Full-time

**Experienced Customer Service Representative - Sales (Hybrid) at arenaflex**

Remote Full-time

Entry-Level Remote Data Entry Positions

Remote Full-time

Experienced Product Manager for Netflix Customer Support - Remote Opportunity with Competitive Salary

Remote Full-time

Experienced Consumer Insight Manager – Driving Business Growth through Data-Driven Decision Making and Strategic Market Research

Remote Full-time

Part-Time Online Data Entry Clerk - Work from Home Opportunity at blithequark

Remote Full-time

REMOTE Math/English Tutors

Remote Full-time

**Experienced Sales Support Specialist – Remote Opportunity for Ambitious Professionals**

Remote Full-time

Experienced Full Stack Remote Chat Support Specialist – Excellent Customer Service, Troubleshooting, and Communication Skills with Competitive Pay $25-$35/hr at Blithequark

Remote Full-time

Netflix Remote Customer Service (Live-Chat) – PART-TIME

Remote Full-time

Experienced Work From Home Search Analyst - Freelance Opportunity in Saudi Arabia for Tech Enthusiasts

Remote Full-time
← Back to Home