Work on designing and optimizing kernels, extensible abstractions for LLM serving engines, JIT domain-specific compilers, and inference runtimes for NVIDIA hardware. Qualifications include a Master's (PhD preferred) or equivalent experience, 6+ years in ML/DL systems development, experience with frameworks such as PyTorch/JAX/TensorFlow/ONNX, and expertise in GPU kernel development and compilers. Base salary range listed as 184,000 USD - 287,500 USD per year.

Role focuses on designing and implementing GPU kernels, kernel code generators, JIT compilers, and extensible abstractions for LLM serving and inference runtimes. Requires experience with deep learning frameworks (PyTorch/JAX/TensorFlow/ONNX), GPU kernel development (CUDA/cuTile/Triton), and ML/DL systems for inference.

Technical lead role on Salesforce's Public Sector team responsible for end-to-end delivery of AI/LLM-driven and multi-cloud Salesforce solutions (Agentforce, Data Cloud, integrations, automation) for DoD/IC/aerospace customers. Requires 8+ years' hands-on experience, ability to travel ~25–50%, work in classified/unclassified environments, and hold active TS/SCI with Polygraph. Candidate must be a U.S. citizen living on U.S. soil.

NVIDIA is hiring a Senior DL Compiler Engineer for the CUDA Tile team to design and implement compiler transformations, MLIR-based dialects and lowering passes, and optimize tile-based GPU kernels. Requires a BS/MS/PhD (or equivalent), 3+ years in compiler optimization/IR design/performance analysis, strong C/C++ skills, and experience with MLIR/LLVM/CUDA (OpenCL, XLA, TVM and deep learning experience are desirable). Base salary range: USD 152,000–241,500. Applications accepted at least until March 15, 2026.

Kindred is hiring a Staff Data Scientist to lead technical strategy for product experiences including matching optimization, growth, and marketplace health. The role requires end-to-end ownership from framing business problems and measurement strategy to building production-grade predictive models, advanced causal inference for experiments, and collaborating with product and data engineering. Candidates should have 8+ years in quantitative roles and strong skills in SQL, Python/R, experimentation, and machine learning.

Role analyzes large-scale datacenter workloads and telemetry on GPU-accelerated clusters, produces findings and visualizations, partners with OS/container/GPU/systems engineers, and implements lightweight ML/DL classification or prediction when useful. Requires 5+ years analyzing complex datasets, BS/MS (or equivalent), strong Python and JavaScript, hands-on use of telemetry/observability stacks (e.g., Grafana, Elasticsearch, Splunk). Position is remote/US-based; base salary range listed as 152,000–241,500 USD/year.

Join LivePerson's Conversational AI team as a Senior Software Engineer focused on Node.js and Python. Responsibilities include designing and implementing critical backend components, building high-volume low-latency distributed services, debugging and maintaining production systems, participating in on-call rotations, and mentoring engineers. Experience with LLMs, RAG, vector databases, Kubernetes, cloud (GCP or AWS), databases (SQL/NoSQL/Cassandra/MySQL), data processing frameworks (Kafka, Airflow, Spark, Hadoop), REST APIs, and microservices is required.

Role focused on architecting and implementing next-generation GPU profiling features, building functional and performance models, and creating test plans. Requires a Masters/PhD or equivalent, 3+ years in computer architecture/ASIC design/verification or software development, strong C++ and Python, experience with performance modeling/hardware simulation (ideally SystemC), and familiarity with GPU profiling and AI/HPC workloads. Base salary ranges provided for Levels 4 and 5 (overall range in posting: USD 184,000–356,500).

Lead and grow AI engineering teams to deliver AI-powered products from concept to commercial deployment. Responsible for AI strategy and roadmaps, system design, production ML/AI deployments (including LLMs, RAG, agentic workflows), and cross-functional stakeholder engagement; requires 10+ years software engineering experience and 4+ years managing engineering teams.

Sayari seeks a Senior Applied Scientist with 5+ years in applied ML and 2+ years hands-on experience with LoRA and full fine-tuning. The role focuses on fine-tuning small language models, building data collection and labeling strategies for messy, real-world commercial data, evaluating models on agentic workflows, and deploying models to production using cloud ML platforms (e.g., Vertex AI or SageMaker). The position is remote within the United States and lists a target base salary of $185,000–$200,000 USD.

Own ML-driven product features end-to-end: identify opportunities, model, deploy, run experiments, and measure impact. Design and build scalable ML systems including data pipelines, training workflows, and production model serving; shape MLOps practices and explore generative AI/LLM use cases. Provide technical leadership and mentorship across the team.

Nearform is hiring a Senior Software Engineer to design and build applications using Python and modern AI frameworks. The role is full-time, permanent and based in Ireland with remote working and frequent travel to client sites in the UK and Europe (travel expenses covered). Key responsibilities include component design and development, data storage design, performance optimisation, working in agile teams, and supporting technical leaders. Required skills include deep Python and AI experience, version control (Git), testing at multiple levels, databases, cloud environments, and CI/CD. Salary advertised up to €95,000 plus bonus and benefits.

Lead design and delivery of scalable ML solutions (Generative AI, RAG, Graph ML, LLM fine-tuning) and high-performance real-time inference services. Hands-on responsibilities include architecture, microservices, Triton/TensorRT-based inference, Python development, CI/CD, Docker/Kubernetes, cloud deployments, and mentoring engineering teams.

CrowdStrike seeks a senior Cloud/Backend Engineer on the Charlotte AI team to design and implement globally distributed, fault-tolerant cloud systems and backend microservices. Responsibilities include building cloud solutions (using Go, Python, Docker, Kubernetes, AWS, Kafka, Cassandra, Elasticsearch, etc.), constructing and maintaining data pipelines, developing/customizing LLM capabilities, ensuring testing/CI, monitoring/logging, and collaborating across teams. Position is hybrid based out of the NYC office. Salary range provided: $140,000–$215,000 per year.

NVIDIA is hiring a Senior Software Engineer in the Developer Tools organization to enhance tools for deep neural network design and performance. The role requires at least a M.S. (or equivalent), 5+ years of relevant technical experience, strong knowledge of deep learning (computer vision and LLMs), and hands-on experience with frameworks such as PyTorch, TensorFlow, or JAX. Provided base salary ranges from USD 152,000 to 287,500 depending on level and location.

Senior Software Systems Engineer (L3/L4) role focused on defining system requirements and performance budgets, developing test and validation strategies (vehicle and component levels), and ensuring safety (SOTIF ISO 21448, ISO 26262) for autonomous driving. Requires 8+ years in safety-critical systems engineering, strong software skills (Python, C++, SQL), and experience with large datasets and ML validation.

Technical authority responsible for analyzing model architectures at the operator/kernel level, uncovering performance bottlenecks, and delivering inference solutions (TensorRT and compiler-stack) for Jetson, DRIVE, and GPU+ARM platforms. Requires advanced experience in DL model optimization, GPU/CUDA and low-level performance optimization, embedded/edge software, neural network compilation, and collaboration with OEMs, compiler/runtime, and hardware teams.

Role involves designing and implementing compiler optimization techniques for deep learning graphs, tensor sharding and graph partitioning for distributed training/inference, and code generation for NVIDIA GPU backends using tools such as MLIR, LLVM, and OpenAI Triton. Requires a BS/MS/PhD or equivalent, 4+ years relevant experience, strong C/C++ skills, performance analysis, and knowledge of GPU/accelerator architectures; experience with JAX, CUDA, XLA/TVM/MLIR/LLVM is a plus.

Permanent, remote-friendly role for a Senior engineer (typically 8+ years) to design, build and deploy agentic AI/LLM platforms (LLM orchestration, multi-agent systems, RAG) using Python and modern AI frameworks, integrate with enterprise systems and data sources, and deploy workloads via Kubernetes across cloud, on-premise and hybrid environments; frequent travel to client sites in Europe.

Responsible for designing, building, and operating AI-based features (including LLMs, agent-driven experiences, RAG, and prompt engineering) across frontend and backend stacks. Requires 5+ years of software engineering experience, strong TypeScript/JavaScript and backend skills (Node.js/Go/Java), experience shipping AI/ML integrations in production, and familiarity with observability and telemetry systems.