NVIDIA is hiring a Senior Perception Software Engineer to develop perception software components, deploy state-of-the-art DNN models to embedded/real-time platforms, and improve system robustness using real and synthetic benchmark data. The role requires strong C++ and Python skills, 12+ years of experience on embedded real-time platforms, and experience with testing, verification, and integration on hardware or robotic platforms.

Role at NVIDIA to design and develop learning-based multimodal sensor-fusion and world-model architectures that fuse camera, LiDAR, radar, map, navigation, and vehicle-state inputs into a temporally consistent, uncertainty-aware scene representation for L3/L4 autonomy. Requires deep experience in 3D perception, sensor calibration/synchronization, PyTorch/C++ development, and large-scale model training and deployment.

NVIDIA is hiring a Senior System Software Engineer to develop a unified, high-performance GPU-accelerated inference platform by converging Triton Inference Server and NVIDIA Dynamo. The role requires 12+ years building deep learning/ML systems and high-scale distributed systems, strong Rust and C++ skills, familiarity with Python, and experience in performance analysis, debugging, and test design. Preferred experience includes AI frameworks (TensorRT, PyTorch, ONNX, OpenVINO, vLLM/TRT-LLM), GPU memory/cache management, high-performance networking, and contributing to large open source projects. Location: US (Santa Clara) with remote/hybrid options.

Role focused on designing and implementing LLM-first math library APIs and documentation, building tooling and metrics for LLM/agentic code generation, and collaborating with stakeholders to deliver GPU-accelerated library releases. Requires 3+ years' experience and strong knowledge of LLMs, finetuning, RAG, RL, API design, and CUDA-X math libraries.

Lead and develop a cross-functional engineering team that delivers growth-critical systems, platforms, and tools (website, user communications, martech). Remain hands-on writing production-grade backend code, provide technical guidance, collaborate with Product and Design, and use AI tooling to boost productivity. Requires people leadership, backend technical expertise, experience in distributed/remote teams, and familiarity with languages such as TypeScript, Rust, Go, or Python.

EBSCO is hiring a Principal AI Delivery Lead to run a player-coach role leading a forward-deployed engineering pod within Data & AI. Responsibilities include setting technical direction for agentic systems (LLM orchestration, RAG/vector search, human-in-the-loop), operating a disciplined intake→build→hand-off delivery model, building reusable evaluation/guardrail patterns and observability, partnering with business sponsors and vendors, and modelling cost-to-serve. The role requires 10+ years of related experience, including 3+ years leading teams that shipped AI-powered production software. Salary range provided.

Role to develop advanced compiler-oriented agents, multi-step transformation workflows, numerical validation and verification infrastructure, and co-design compiler and verification workflows across NVIDIA's software and hardware stack. Requires bachelor's degree or equivalent (MS/PhD preferred), 5+ years relevant experience in compilers/AI/numerical computing/verification/HPC, strong C/C++ and Python skills, CUDA/GPU experience, and experience with tools such as LLVM/MLIR/PTX/Triton. Location: US (Austin, Redmond, Santa Clara) with remote options. Base salary range listed: 152,000–241,500 USD per year.

Lead analytics and measurement work for Wikimedia's anti-abuse, safety, and security efforts. Responsibilities include designing experiments and metrics, performing quantitative research using Bayesian and frequentist approaches, collaborating with product, research, and engineering teams to develop and evaluate AI/ML models, building self-service dashboards, and working with large-scale data using tools such as Hive, Presto, Druid, Spark, Apache Iceberg, DBT, Airflow, and Superset. Fluency in Python or R, SQL, and experience with experimental design, statistics, and machine learning are emphasized.

NVIDIA GEAR seeks a PhD research intern to design and implement algorithms and systems for general-purpose humanoid robots and embodied agents. Responsibilities include research on foundation models, large-scale training/inference, simulation and robot hardware deployment. Requires PhD student status in Computer Science/Engineering or related field, strong Python and ML framework skills (PyTorch/Jax/TensorFlow), and experience in multimodal models or robot learning. Hourly intern pay listed as 38–94 USD.

Hired into a specific Mapbox team but expected to work across teams on Search, Places, Location/Navigation Intelligence, and Platform problems. Own technical design and delivery of multi-component AI systems: define correctness and evaluation frameworks for non-deterministic behavior, build and maintain data pipelines (ingestion, conflation, entity resolution, batch/streaming jobs), instrument systems for reproducible failures, design model vs tool boundaries and model harnesses, and meet latency/cost targets. Requires 5+ years software engineering experience and 2+ years shipping LLM-backed features; strong data engineering skills (SQL, distributed processing), fluency with tool calling/agents, Python or TypeScript, and participation in on-call rotations.

Build and own ML platform infrastructure at Coinbase, including low-latency inference, streaming feature pipelines, and distributed training. Requires 5+ years experience in production distributed systems, familiarity with feature stores and model serving, observability and data quality tooling, and mentoring junior engineers. Annual base salary range $191,250–$225,000 USD.

Technical lead for retrieval modeling on Reddit's Ads Retrieval ML team. Responsibilities include designing and launching candidate-generation and retrieval models (embeddings, two-tower models, sequence/graph methods), working with ANN/vector retrieval systems, establishing evaluation and experimentation practices, mentoring engineers, and partnering with ads, ranking, and product teams. Requires 7+ years industry experience and deep experience with retrieval, recommender systems, deep learning frameworks (TensorFlow/PyTorch), and production ML workflows.

Twilio is hiring an Emerging Fraud Researcher to identify novel fraud behaviors on its communications network (voice, messaging, email) using AI tools and large-scale data analysis. Responsibilities include researching emerging fraud trends, collaborating with data scientists to build detection models, stress testing the network, conducting investigations and root cause analysis, and developing proactive mitigation strategies. Role is remote within the US (not eligible in CA, CT, NJ, NY, PA, WA), may require occasional travel, and lists annual pay ranges that vary by location.

NVIDIA seeks a Senior Software Engineer to develop accelerated PyTorch-based solutions for large-scale machine learning (including GNNs, Tabular Foundation Models, and ensemble models) and to optimize training and inference on GPU infrastructure. The role requires experience with PyTorch, CUDA/GPU acceleration, C++, distributed training, profiling, scaling and orchestration, and includes customer engagement, mentorship, and cross-team technical leadership.

Technical lead for AI-focused full-stack projects at a nearshore staff augmentation firm. Role includes architectural decisions across backend (Python), frontend (React/Vue/Angular), data pipelines, agentic workflows and LLM integrations (RAG, LangChain/LlamaIndex). Requires 7+ years software development experience with 2+ years in technical leadership. Position is fully remote and works with U.S. clients; compensation stated as competitive in USD (no numeric salary provided).

The role leads technical direction for AI-powered full-stack applications, designing and building scalable Python services, interactive frontends (React/Vue/Angular), data pipelines, agentic workflows, and LLM integrations. Requires strong backend (Python) and modern frontend (TypeScript) experience, hands-on with LLM/RAG patterns and frameworks (e.g., LangChain, LlamaIndex), API design, databases (relational and vector), and engineering best practices including CI/CD, containerization, and automated testing.

Reddit is hiring a Senior Staff Machine Learning Engineer to define and accelerate the use of agentic AI to improve model quality and development velocity. Responsibilities include developing ML models and agentic workflows, using tools such as Claude and Cursor, building evaluation harnesses, and partnering with product, data science, ML infra, and engineering teams. Requires 9+ years of relevant experience, strong Python and ML framework fluency, deep modeling expertise, and senior-level technical leadership. Listed base salary range: $292,500–$409,500 USD (annual).

Lead architecture and implementation to make CUDA-X math library APIs LLM-first and agent-friendly. Work with stakeholders to deliver LLM-enhanced releases, build metrics and tooling for code generation quality, and prototype solutions to represent math library APIs for codegen tools. Requires 3+ years' experience and strong familiarity with LLMs, API design, and CUDA-X math libraries.

Join NVIDIA to build software infrastructure for AI-enabled materials and chemistry discovery, developing features in NVIDIA ALCHEMI, integrating material science applications with AI surrogates, and running performance benchmarks. The role requires a PhD or equivalent experience in a relevant field and 8+ years working on high-performance numerical methods and material science simulations; proficiency in Fortran, C++, CUDA and Python is listed.

Join CrowdStrike's Intelligence Automation team to design, prototype, implement, deploy and maintain large-scale distributed systems that support intelligence analysts and researchers. Responsibilities include building processing pipelines, data storage and presentation layers, maintaining new and legacy systems, gathering requirements from internal customers, and operating production services. Technologies referenced include Go, Python, Linux, containers, SQL/NoSQL databases, cloud platforms (AWS/GCP) and AI tooling. Role is remote with distributed team collaboration expected.