AI / ML System Software Engineer, Senior Staff

The role: Senior Staff SW Engineer (Systems) 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 the next-generation AI Deployment software. You have had past experience working across all aspects of the full stack tool chain and understand the nuances of what it takes to optimize and trade-off various aspects of hardware‑software co‑design. You are able to 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: BS in Computer Science, Engineering, Math, Physics or related degree with 8+ years of industry software development experience and MS in Computer Science, Engineering, Math, Physics or related degree preferred with 5+ years Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals. Proficient in C/C++/Python development in Linux environment and using standard development tools. Experience with distributed, high performance software design and implementation. Self‑motivated team player with a strong sense of ownership and leadership. Preferred: MS or PhD in Computer Science, Electrical Engineering, or related fields. Prior startup, small team or incubation experience. Work experience at a cloud provider or AI compute / sub‑system company. Experience implementing SIMD algorithms on vector processors. Experience with open source ML compiler frameworks such as MLIR. Experience with deep learning frameworks (e.g., PyTorch, Tensorflow). Experience with deep learning runtimes (e.g., ONNX Runtime, TensorRT). Experience with inference servers/model serving frameworks (e.g., Triton, TFServ, KubeFlow). Experience with distributed systems collectives such as NCCL, OpenMPI. Experience deploying ML workloads on distributed systems, in a multitenancy environment. Experience with MLOps from definition to deployment including training, quantization, sparsity, model preprocessing, and deployment. Experience training, tuning and deploying ML models for CV (ResNet), NLP (BERT, GPT), and/or Recommendation Systems (DLRM). 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. Compensation $180K – $280K Offers Equity Offers Bonus The pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on a number of factors—including the role’s function and location, as well as the individual’s knowledge, skills, experience, education, and training. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. #J-18808-Ljbffr