Design and implement core features of the lightweight Linux endpoint sensor (file system, memory, process, networking) using C/C++. Requires deep Linux OS internals knowledge, debugging memory corruption and performance issues, cross-team collaboration for cross-platform delivery, and experience leveraging AI technologies. Hybrid expectation of at least 2 days/week in office. Base salary range for U.S. candidates: $160,000–$250,000/year.

Quora is hiring a remote Staff Machine Learning Engineer to work on recommendation systems (feed, notifications, digest emails, A2A) for the Quora product. The role requires taking end-to-end ownership of ML systems (data pipelines, candidate extraction, feature engineering, model training, production integration) and collaborating with other engineers. Minimum requirements include 5+ years professional software development experience in ML and 3+ years working on recommendation systems; US salary range provided: $219,989 - $320,613 USD per year.

Quora is hiring a Senior Machine Learning Engineer (remote) for its distribution team to improve ranking models and recommendation systems (feed, notifications, digest emails, A2A). Responsibilities include end-to-end ownership of ML systems (data pipelines, candidate extraction, feature engineering, model training, production integration). Minimum: 3+ years working on recommendation models, strong ML mathematical foundations, and experience building end-to-end ML systems. Coordination hours are Mon–Fri 9am–3pm PT. US applicants: salary range listed as $189,507–$274,603 USD per year.

Prominent Edge seeks Lead Full-Stack Software Engineers with an active TS/SCI clearance for remote work in the United States. Candidates should have full-stack experience in Agile environments, experience leading teams through requirements, architecture, design, coding, testing, and delivery, and hands-on skills with front-end frameworks (React/Angular/Vue), back-end frameworks (Node/Flask/Django/Spring), relational and NoSQL databases, cloud (AWS) and containerization (Docker/Kubernetes). Nice-to-have skills include geospatial tools, data visualization, serverless, CI/CD, 3D web, and ML/analytics technologies.

Netguru seeks a Senior Python Developer for freelance B2B engagement (full-time, long-term), remote based in the European Union. The role involves developing and maintaining Python backend services in a microservices architecture, working with Microsoft Azure (including Azure Functions and Azure Service Bus), Docker, SQL/NoSQL databases, message queueing, CI/CD and testing with Pytest. Polish at C2 and English at B2+/C1 (listed as C1) are required. Salary indicated up to 139 PLN/h.

Join the team to develop test plans, automate test specification and execution for NVIDIA interconnect/networking products. Work across engineering functions to identify test requirements, debug hardware and software failures to root cause, build automation and tools for releases, deploy test solutions to production sites, and train/support personnel. Requires 3+ years' experience and proficiency in Python or other languages.

Role involves designing, developing and maintaining automated tests and infrastructure for networking switch and adapter products, collaborating with HW, ASIC and SW teams, supporting production test lines, and executing regression, performance, functional and security tests. Requires BSc/MSc in a relevant engineering field, 5+ years related experience, 3+ years Python, Git and Linux experience, and strong communication skills in English.

Responsible for designing and implementing new NIC/DPU firmware features and protocols across product life stages, from pre-silicon to launch. Requires 5+ years C/C++ experience (embedded systems, binary network protocols), advanced English (C1), familiarity with Git/Gerrit, Linux, Bash/Python, and experience with test automation and debugging.

Work on a performance-oriented, low-level inference infrastructure using hardware offloads (GPU kernels, CUDA) and RDMA network cards. Requirements include ~8 years in modern C++/C/Rust development, ~3 years in Linux development, deep knowledge of TCP/IP, computer architecture and OS concepts. Advantages include experience with LLM inference stacks, distributed storage, Linux internals, low-level optimizations, parallel programming, HPC and RDMA.

Develop and maintain automated verification for high-end hardware and software storage solutions, collaborating with R&D to improve test coverage, performance, quality and stability. Requires 2+ years scripting (Python/Bash) and Linux experience, familiarity with networking and QA automation; English (Upper-Intermediate/B2).

Work involves developing infrastructure and tools to automate complex software processes, implementing benchmarking and profiling frameworks, and applying deep knowledge of OS internals, device drivers, memory, storage, networking, and high-speed interconnects. Requires 5+ years industry experience, proficiency in C++/Python/Go, experience with distributed systems, CI/CD, containerization (Docker, Kubernetes), and performance/debugging of compute workloads.

NVIDIA Research is hiring a recent PhD graduate to work on machine learning systems spanning hardware, software, and infrastructure. Responsibilities include analyzing efficiency, scaling, and resilience challenges, developing systems solutions, co-designing ML algorithms and systems, collaborating across teams, and publishing research. Required background includes strong systems knowledge (OS, distributed systems, data management, networking, cloud, or architecture) and experience with C/C++/Python and experimental R&D.

NVIDIA seeks a Senior Architect to guide software design, architecture, and implementation of cost, power, and performance modeling for datacenter-scale GPU-accelerated platforms. Requires 8+ years in systems architecture and modeling, strong Python skills, and experience with datacenter/server architecture, parallel computing, data analysis, and DevOps practices.

Lead design through production of software and firmware stacks for GPU-accelerated server platforms. Drive system architecture across application software, system software and firmware; work directly with major customers, vendors, and internal teams; develop technology roadmaps and mentor engineering teams. Requires 10+ years in system architecture/design, experience with SW/HW interfaces, and knowledge of HPC/deep learning workloads and management protocols (e.g., Redfish, IPMI, MCTP, PLDM, RDE).

Role to drive server management and firmware architecture for large clusters and data centers deploying NVIDIA GPUs and Grace solutions. Responsibilities include working with data center architects and customers to define requirements, owning firmware quality, reliability and telemetry, collaborating with internal leads on health management workflows, and resolving cluster bring-up issues. Requires 15+ years of server firmware (BMC) and platform software experience, strong C/C++ and Python skills, and experience with data center manageability and SCM tools (Git/Perforce) and Jira.

Lead architecture for cloud-networking and security solutions, design system architecture for DPUs & NICs, build end-to-end solutions from application to hardware level, evaluate technologies and develop prototypes. Requires 5+ years as a Software or Systems Architect, strong software development experience, deep knowledge of C and Python, Linux development, cloud-networking and networking protocols; experience with DPDK, OVS/OVN, containers and Kubernetes is a plus.

NVIDIA seeks a Software Engineering Manager for image and data compression libraries (US-based, hybrid/remote). Role requires at least five years' experience including three or more years managing teams; strong technical skills in C++ and Python; experience with parallel programming and performance optimization on modern architectures (CUDA, MPI, NVSHMEM, NCCL, AVX, etc.); and familiarity with image processing and compression algorithms. Base salary range: 200,000 USD - 322,000 USD.

Join a team developing GPU-accelerated dense linear algebra libraries (e.g., cuSOLVER). Responsibilities include designing, implementing, and optimizing kernels (triangular factorizations, eigenvalue and singular value decompositions), providing technical leadership, and collaborating with product and QA. Requires MSc/PhD or equivalent and 5+ years developing high-performance numerical linear algebra software (C++, CUDA, MPI/OpenMP/OpenACC/pthreads).

NVIDIA is hiring a Senior Deep Learning Software Engineer (Inference) to design, build, and optimize GPU-accelerated software and inference pipelines for LLMs and generative/multimodal models. The role involves contributing to and optimizing frameworks (vLLM, SGLang, FlashInfer), using tools like CUDA, CUTLASS, Triton, and NCCL, and collaborating across teams. Requirements include a Master's/PhD or equivalent experience and 5+ years of relevant software development experience with strong C/C++ skills; Python and production inference experience are a plus.

Responsible for designing, implementing, and optimizing high-performance dense linear algebra software on GPUs, leading projects and mentoring engineers. Requires 8+ years experience, a degree in CS/Applied Math or equivalent, strong C++ skills, expertise in kernel generation and JIT, and experience with GPU-related technologies (CUDA) and performance optimization. Base salary range shown: $184,000–$356,500 depending on level.