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evollabs tech.

<h3>About Us</h3><p>We are a tech company specializing in the design and development of cutting-edge, customized server hardware solutions optimized for artificial intelligence and machine learning applications. Our mission is to empower businesses and researchers with high-performance, scalable, and energy-efficient infrastructure.</p><p>As a rapidly growing company at the forefront of AI hardware innovation, we seek talented and motivated individuals to join our dynamic team and contribute to the future of AI technology.</p><h3>You'll Collaborate With</h3><p>Compiler engineers, firmware and driver engineers, hardware architects, ML framework engineers, and performance and validation teams.</p><h3>What You'll Own</h3><ul><li>Core runtime architecture bridging compiler and hardware</li><li>Runtime execution engine performance and stability</li><li>Device memory management design and efficiency</li><li>Command submission and hardware interaction layer</li><li>Concurrency and scheduling model for model execution</li><li>Observability tooling (profiling, logging, tracing)</li><li>Scalable and maintainable technical design decisions</li></ul><h3>Minimum Qualifications</h3><ul><li>5–8+ years of experience in systems software or runtime systems</li><li>Strong proficiency in C/C++ and Python</li><li>Solid understanding of OS fundamentals, multithreading, synchronization, and memory management</li><li>Experience working close to hardware (GPU, accelerator, firmware, or drivers)</li><li>Familiarity with command queues, execution engines, and DMA systems</li><li>Understanding of computational graphs, tensor execution, and memory layouts</li><li>Experience profiling and optimizing performance-critical systems</li></ul><h3>Preferred Qualifications</h3><ul><li>Experience building or architecting a runtime from scratch</li><li>Familiarity with MLIR, LLVM, or compiler-runtime interfaces</li><li>Experience with CUDA, ROCm, TensorRT, TVM, XLA, ONNX Runtime, or similar</li><li>Experience integrating hardware backends with PyTorch, ONNX, or OpenXLA</li><li>Knowledge of quantization and mixed-precision inference</li><li>Experience with multi-device or distributed execution</li><li>Background in AI accelerator or semiconductor environments</li></ul><h3>What Success Looks Like</h3><ul><li>Reliable end-to-end execution of compiled models on NPU</li><li>Minimal runtime overhead with consistent performance targets</li><li>Efficient and scalable memory management and scheduling</li><li>Robust, maintainable, and extensible runtime architecture</li><li>Strong collaboration across compiler, firmware, and hardware teams</li><li>Stable support for real-world AI workloads with observability</li></ul><h3>Call to Action</h3><p>Join us in our mission to democratize AI compute—where your expertise becomes the foundation of tomorrow’s AI breakthroughs.</p>

Runtime Engineer (C/C++)

<h3>About Us</h3><p>We are a tech company specializing in the design and development of cutting-edge, customized server hardware solutions optimized for artificial intelligence and machine learning applications. Our mission is to empower businesses and researchers with high-performance, scalable, and energy-efficient infrastructure.</p><p>As a rapidly growing company at the forefront of AI hardware innovation, we seek talented individuals to join our dynamic team and make a significant impact on future AI technologies.</p><h3>You'll Collaborate With</h3><p>Firmware, silicon, runtime, datacenter software, and architecture teams to deliver a robust kernel foundation for AI workloads.</p><h3>What You'll Own</h3><ul><li><strong>PCIe Foundation:</strong> Design and implement PCIe kernel drivers for accelerator communication.</li><li><strong>High-Speed Data Movement:</strong> Develop DMA engines and memory systems for high-throughput data transfer.</li><li><strong>Firmware Bridge:</strong> Build interrupt handling and mailbox communication systems.</li><li><strong>System Observability:</strong> Create sysfs/debugfs interfaces for telemetry and diagnostics.</li><li><strong>Multi-Die Orchestration:</strong> Support device discovery and topology coordination.</li><li><strong>Power &amp; Thermal Intelligence:</strong> Integrate Linux power management frameworks.</li><li><strong>Reliability Engineering:</strong> Implement monitoring, error handling, and recovery systems.</li><li><strong>Performance Optimization:</strong> Optimize latency and throughput for AI workloads.</li><li><strong>Time Synchronization:</strong> Support PTP/PHC synchronization for distributed systems.</li><li><strong>Runtime Partnership:</strong> Collaborate with userspace teams for APIs and scheduling.</li><li><strong>Future-Ready Architecture:</strong> Enable virtualization and multi-tenant isolation.</li></ul><h3>Minimum Qualifications</h3><ul><li>5+ years of Linux kernel driver development in C</li><li>Strong PCIe driver experience (DMA, interrupts, BARs)</li><li>Knowledge of memory management, IOMMU, and DMA mapping</li><li>Experience with kernel synchronization and interrupts</li><li>Understanding of Linux device model and driver lifecycle</li><li>Experience with debugging tools (ftrace, perf, crash)</li><li>Ability to read hardware specifications</li><li>Strong documentation and upstream contribution experience</li></ul><h3>Preferred Qualifications</h3><ul><li>Experience with AI/ML or GPU drivers (NVIDIA, AMD, Intel)</li><li>RDMA/RoCE or high-speed networking experience</li><li>PTP/PHC synchronization knowledge</li><li>Multi-die/chiplet driver experience</li><li>Linux kernel upstream contributions</li><li>Kernel security and SELinux knowledge</li><li>Container integration (Docker, Kubernetes)</li><li>Performance optimization experience</li><li>RAS and system reliability knowledge</li></ul><h3>What Success Looks Like (First 6–9 Months)</h3><ul><li>Stable and reliable PCIe drivers across systems</li><li>Efficient DMA and memory management performance</li><li>Functional multi-die topology and communication</li><li>Operational firmware integration and telemetry</li><li>Meeting performance benchmarks for AI workloads</li><li>Comprehensive documentation and test coverage</li></ul><h3>Call to Action</h3><p>Ready to accelerate the future of AI? Submit your application with relevant projects, contributions, or research demonstrating your expertise in firmware, PCIe, and system architecture.</p><p>Join us in shaping the future of AI compute.</p>

 Linux Kernel Engineer (AI ASIC)

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At Evollabs, we foster curiosity, collaboration, and growth—giving you the space to innovate and shape what comes next. Join us and help build the future.



Empowering Minds to Create What's Next

<p>Didn’t find your match? Stay connected and explore future opportunities by following us on <a target="_blank" rel="noopener noreferrer" href="https://www.linkedin.com/company/evollabs-tech">LinkedIn</a> or send your application to <a href="mailto:careers@evollabs.tech">careers@evollabs.tech</a><br>&nbsp;</p>

At Evollabs, innovation is more than technology—it’s a commitment to creating meaningful impact. Our team blends creativity, expertise, and purpose to build solutions that solve real-world challenges and elevate businesses.

Empowering Minds to Create What's Next

Join a team dedicated to transforming the future of technology. Grow your career while building innovative solutions that empower businesses and communities.

Our Roles

Runtime Engineer (C/C++)

Experience: 5 – 8+ Years

Job Type: Full Time

Linux Kernel Engineer (AI ASIC)

Experience: 5+ Years

Job Type: Full Time

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