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.

Work on analyzing deep learning networks and implementing compiler optimization algorithms for AI inference across NVIDIA GPUs. Collaborate with deep learning framework and GPU architecture teams; require 3+ years relevant experience, strong C/C++ and Python skills, and experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton).

NVIDIA is hiring a Senior Machine Learning Applications and Compiler Engineer to build and maintain high-performance runtime and compiler components for the LPX inference stack. Responsibilities include mapping large-scale inference workloads to NVIDIA systems, extending software ecosystem libraries and tooling, benchmarking and profiling for performance, and collaborating with hardware architects. Requires MS/PhD (or equivalent) with 6 years relevant experience, strong systems programming skills (C/C++ and/or Rust), compiler/runtime development experience (IR design, passes, code generation), familiarity with LLVM/MLIR, and experience with TensorFlow, PyTorch, and ONNX.

Hightouch is hiring a senior, product-minded AI engineer to rapidly prototype and architect production LLM/agent systems and backend pipelines that leverage company data for analytics and marketing workflows. Role is remote (North America). Salary range: $180,000 - $400,000 USD/year. The company participates in E-Verify.

Hightouch is hiring a Head of Machine Learning to lead ML across personalization, product recommendation, probabilistic identity resolution, content generation (including LLMs), and ML infrastructure. The role combines technical leadership, people management, recruiting, product roadmapping, and improving team reliability and execution. Remote (North America); salary range $230,000–$400,000 USD/year.

Forward Deployed Marketing Data Scientist partnering with AI Decisioning customers and internal teams to analyze model behavior, tune ML levers, measure incrementality, debug experiments, and present insights to marketers and executives. Responsibilities include exploratory analyses in Python (Polars/Pandas) and SQL, modifying feature matrices, building reusable analysis tooling, and communicating technical concepts to non-technical stakeholders. Salary range $140,000–$220,000 USD/year (location independent).

Hire for a Principal Engineer leading Generative & Agentic AI initiatives: design and build production-grade autonomous systems using LLMs, agent frameworks, vector databases, RAG, RLHF, and cloud-native/MLOps practices. Role requires ~15+ years software engineering experience and 5+ years focused on LLMs/agentic/generative AI; strong backend/distributed systems skills and Python expertise; US-based remote-first with optional NYC office.

Stability AI is hiring a Generative AI Inference Engineer to lead design and production of customer-facing multi-modal ML inference systems. Responsibilities include inference optimization, model tuning and deployment, working with cloud providers (AWS/GCP/Azure) and HPC resources, and bringing new Stability models and pipelines into production. Required: 7+ years production ML experience, expert Python, PyTorch, Triton/TensorRT, GPU profiling (NVIDIA Nsight), Docker, Kubernetes, and experience with OpenCV and open-source ML tools (HuggingFace, W&B).

NVIDIA seeks a new college graduate (Master's/PhD or equivalent) to research, design, and optimize high-performance AI and HPC workloads on CPUs and GPUs for financial services. Responsibilities include low-level parallel programming (e.g., CUDA), profiling and eliminating bottlenecks, collaborating with hardware/software teams, and publishing results. Role emphasizes C/C++, algorithms, linear algebra, and experience improving large-scale GPU application performance; locations listed in the US with remote options.

Role for an architect/functional modeling engineer to design, develop, validate, and improve GPU architecture and baseboard component simulation models and platforms. Requires 5+ years experience, strong C/C++ and scripting skills, SystemC/TLM modeling experience, and familiarity with ML frameworks (PyTorch, TensorFlow, LangChain).

Role responsible for improving ML training and inference efficiency across GPU clusters by debugging and optimizing software and infrastructure, building tools and frameworks to detect bottlenecks, collaborating with researchers across domains (LLMs, robotics, autonomous vehicles, video), and working with technologies such as CUDA, NCCL, Nsight, distributed training, cloud platforms, and fast distributed storage.

Interns will develop features for Mercari, Merpay, and Mercoin across backend, frontend, mobile, ML, SRE, platform and data domains. Target applicants are students able to join Mercari as new graduates in Oct 2027 or Apr 2028 (or eligible second new graduates). Required technical background includes RDBMS/SQL and practical development experience in at least one area (e.g., Go/PHP/Java APIs, JavaScript/React, Swift/Kotlin, ML, Kubernetes/SRE, Python/data). English and Japanese at CEFR B2 are stated as required/expected in some teams.

Role involves designing and executing benchmarking methods for large-scale HPC and AI GPU clusters; building and maintaining telemetry and observability stacks (Prometheus, Grafana, DCGM, etc.); performing performance analysis and optimization across host, network, and data center infrastructure; and collaborating with hardware, software, and customer teams. Requires 8+ years of relevant experience and strong Linux, GPU/CUDA, scripting, and monitoring expertise.

Design and implement agentic workflows and enterprise-grounded agents using Retrieval Augmented Generation and the Elasticsearch Relevance Engine. Integrate and fine-tune LLMs, connect agents to internal APIs and SaaS tools, and manage training, deployment, and performance at scale on cloud platforms (AWS/Azure/GCP). Requires 3–5 years experience and at least 1 year with the Elastic Stack; skills include Python or TypeScript, Kubernetes, Docker, Terraform, LangChain/LangGraph/LangSmith, and Jina AI.