Remote Jobs at d-Matrix

Candidates should possess extensive knowledge and experience in building, testing, monitoring, and maintaining large-scale parallel applications and databases, with a strong understanding of C and C++ in Linux. They should also have an understanding of assembly code, compiler output, system calls, x64 hardware, and storage structures, along with the ability to work with debuggers and profilers and operate using version control systems.

Candidates should have a Bachelor's degree with a minimum of 6+ years of professional experience in software development focused on C++, or a Master's degree preferred in computer science, engineering, or a related field with 3+ years of relevant experience. A strong background in architecting and building complex software systems is required, along with experience in distributed systems or high-performance computing (HPC) applications. Familiarity with PyTorch internals or similar machine learn…

Candidates should have a BS in Electrical Engineering or Computer Engineering, with a Master's degree preferred. A minimum of 10 years of experience in hardware development is required, along with experience in deploying products to volume production. Hands-on experience in the design, bring-up, and debugging of PCBAs and chassis is essential, as well as proficiency in using schematic capture and PCB layout tools. Knowledge of thermal and mechanical designs, along with familiarity with signal an…

Candidates must possess strong programming skills in Python and have experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX. Hands-on experience with model optimization, quantization, and inference acceleration is required, along with a deep understanding of Transformer architectures and distributed inference techniques. Knowledge of quantization methods and memory-efficient inference techniques is essential, as well as a solid grasp of software engineering best practice…

Candidates should have a BS or MS in Computer Science or equivalent with at least 10 years of experience in ML Compiler. Experience with AI compiler projects such as TVM, Glow, or MLIR is essential, along with familiarity with the LLVM project. A background in establishing and developing engineering teams, particularly in software, is required, as well as experience in leading agile development methods, including coordinating scrums and managing project tasks.

Candidates should have a Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field, with a Master's degree preferred. A minimum of 5+ years of experience in FPGA design and verification is required. Expertise in hardware design using Hardware Description Languages (HDLs) like Verilog or VHDL is essential. Familiarity with RISC-V architecture and embedded systems development is needed, along with an understanding of hardware-software integration concepts. Experience wi…

Candidates should possess a BS in Computer Science, Engineering, Math, Physics, or a related degree with at least 8 years of industry software development experience, while an MS in a related field is preferred with 5+ years. A strong grasp of computer architecture, data structures, system software, and machine learning fundamentals is required. Proficiency in C/C++/Python development within a Linux environment and experience with distributed, high-performance software design and implementation …

Candidates must possess a minimum of a PhD in Computer Science, Engineering, or a related field, along with a minimum of 15 years of industry experience. Strong knowledge of computer architecture, hardware/software co-design, digital design, and machine learning fundamentals is required, as is experience with data parallel architectures and SIMD/Vector extensions. Proficiency in C/C++ or Python development within a Linux environment and utilizing standard development tools is also necessary.

Candidates should possess 10+ years of experience in customer engineering and field support for enterprise-level AI and datacenter products, with a focus on AI/ML software and generative AI inference. They require in-depth knowledge and hands-on experience with generative AI inference at scale, including the integration and deployment of AI models in production environments. Strong experience with automation tools and scripting is also necessary.