Embedded Software Engineer

You will work at the intersection of embedded systems, computer architecture, and machine learning, developing high-performance compute kernels, runtime components, libraries, and developer-facing SDK tools. A key part of the role will be efficiently mapping compute-intensive workloads such as convolution, matrix multiplication, and signal-processing operations onto a multicore RISC-V SoC., You will collaborate closely with RTL design, system architecture, software, and machine learning teams to turn architectural capabilities into a practical, high-performance, and extensible software platform.

Prior RISC-V experience is valuable but not required. Engineers with backgrounds in ARM NEON/SVE, x86 SIMD/AVX, DSP software, GPU kernel programming, embedded performance optimization, or other low-level parallel architectures are encouraged to apply., * Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field, or equivalent practical experience \n

• 3+ years of combined relevant industry, graduate research, doctoral research, or applied research experience \n

• Strong programming skills in C and/or C++ \n

• Experience developing or optimizing performance-critical software \n

• Experience with at least one area of low-level performance programming, such as: \n

• SIMD or vector programming \n

• DSP programming \n

• GPU kernel programming \n

• Assembly or intrinsic-based optimization \n

• Performance-critical embedded software \n

• Numerical or high-performance computing \n

• Solid understanding of computer architecture, memory systems, and parallel processing \n

• Experience with performance profiling, benchmarking, low-level debugging, or cycle-level optimization \n

• Familiarity with computational workloads such as convolution, matrix multiplication, image processing, signal processing, or other numerical kernels \n

• Ability to reason about memory access patterns, data locality, computational efficiency, and hardware utilization \n

• Ability to read hardware specifications and work effectively with hardware and RTL engineers \n

• Proficiency with Python for testing, automation, benchmarking, tooling, or application development \n

• Experience with Git and standard collaborative software-development practices \n

• Strong written and verbal communication skills \n

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• Develop and optimize high-performance ML and DSP compute kernels, including operations such as convolution, matrix multiplication, activation functions, pooling, image-processing primitives, and related numerical workloads \n

• Optimize computationally intensive C/C++ code for vector/SIMD execution, multicore processing, and the SoC memory hierarchy \n

• Build reusable compute libraries, runtime components, APIs, and developer-facing components for the Mentium SDK \n

• Develop efficient data-movement, memory-management, and workload-scheduling strategies \n

• Optimize the use of caches, scratchpad memories, DMA engines, and on-chip memory resources \n

• Profile workloads and identify compute, memory-bandwidth, synchronization, and system-level performance bottlenecks \n

• Perform low-level performance analysis using profiling, benchmarking, cycle measurements, and hardware/software debugging tools \n

• Integrate optimized compute kernels and runtime components into AI model deployment and inference workflows \n

• Develop functional tests, performance benchmarks, reference examples, and SDK documentation \n

• Collaborate closely with RTL and system-architecture engineers to validate hardware features and improve end-to-end system performance \n

• Contribute to the architecture and programming model of Mentium’s RISC-V accelerator software stack \n

• Evaluate and adapt relevant open-source libraries, runtimes, compiler technologies, and numerical software \n

• Help define software requirements and provide feedback that influences future hardware architecture \n

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\n, Experience in several of the following areas is valuable, but we do not expect candidates to have experience with all of them:

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• RISC-V instruction-set architecture or the RISC-V Vector Extension (RVV) \n

• ARM NEON or SVE, x86 SSE/AVX, DSP vector architectures, GPUs, or other SIMD/vector processors \n

• Vector intrinsics, assembly programming, compiler intrinsics, or low-level code optimization \n

• DSP, image-processing, numerical-computing, or machine-learning kernel development \n

• Quantized inference, fixed-point arithmetic, INT8/INT16 computation, FP16/BF16, or other reduced-precision numerical formats \n

• DMA, scratchpad memory, cache hierarchies, memory bandwidth optimization, and multicore synchronization \n

• Embedded, bare-metal, real-time, or resource-constrained software development \n

• Multicore SoCs or heterogeneous compute architectures \n

• Open-source RISC-V platforms such as PULP or similar multicore/accelerator systems \n

• Machine-learning frameworks and model formats such as PyTorch, TensorFlow, TFLite, or ONNX \n

• Compiler and deployment technologies such as LLVM, MLIR, TVM, Deeploy, or related systems \n

• SDKs, runtime libraries, numerical libraries, developer tools, or reusable software APIs \n

• Hardware-software co-design, SoC development, FPGA prototyping, architectural simulation, or custom accelerator development \n

• Open-source software or research software development \n

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Why Join Mentium?

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At Mentium, you will work at the intersection of custom silicon, RISC-V, high-performance embedded software, and AI.

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You will work directly with the engineers designing the underlying hardware and play a central role in determining how developers and machine-learning workloads interact with our accelerator.

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Rather than simply programming an existing processor, you will have the opportunity to influence the hardware-software boundary: identifying architectural bottlenecks, developing optimized compute kernels, evaluating new programming approaches, and providing feedback that can shape future generations of the hardware.

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Benefits:

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• Competitive compensation packages \n

• Opportunity to work on diverse, cutting-edge AI projects across a range of industries. \n

• 401(k) \n

• Flexible PTO \n

• Full PPO medical, dental, and vision insurance coverage \n

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Full Time

2147483647

Technology

Mentium Technologies Inc.