NVIDIA seeks a Senior Deep Learning Algorithm Engineer to expand Megatron Core and NeMo Framework capabilities for LLM and multimodal workloads. Responsibilities include designing distributed training algorithms, model parallelism, performance tuning on NVIDIA GPUs, contributing to open-source frameworks, and collaborating with internal and open-source partners. Requires MS/PhD or equivalent, 5+ years industry experience, strong DL fundamentals, and proficiency in Python and frameworks such as PyTorch, JAX, or Ray.

Role focused on architecting and building agentic systems (coding and research domains), analyzing inference workload dynamics of agent harnesses under realistic conditions, and collaborating with evaluation teams for software and hardware. Requires strong experience building AI agents and evaluating agent performance; MS in Computer Science (or equivalent) with 5 years of software development experience. Listed base salary ranges: $152,000–$241,500 (Level 3) and $184,000–$287,500 (Level 4).

Senior (staff/principal) software engineer-level contract to assess quality of AI-generated coding interactions (OpenAI Codex, Claude Code, Cursor). Responsibilities include judging usefulness, correctness, engineering judgment, and the quality of explanations; providing clear, opinionated feedback and distinguishing levels of response quality. ~10–20 hours/week, $100–$200/hour, start ASAP, duration through early May with possible extension; take-home evaluation and interview process.

G2i seeks a staff/principal-level software engineer to evaluate interactions with AI coding agents (Codex, Claude Code, Cursor). The role focuses on judging usefulness, high-level correctness, engineering judgment, and quality of explanations — not writing production code. Responsibilities include end-to-end evaluation of AI outputs, distinguishing response-quality levels, and providing clear, opinionated feedback. Part-time contract (~10–20 hrs/week), pay $100–$200/hour, start ASAP with duration through early May (possible extension).

Senior/Staff/Principal-level engineering role to evaluate AI-generated coding interactions end-to-end (focus on usefulness, high-level correctness, reasoning, and engineering taste). Contract, ~10–20 hours/week, $100–$200/hour, duration through early May with possible extension. Requires hands-on experience using OpenAI Codex, Claude Code, Cursor and familiarity with modern AI-assisted development workflows. Process includes a take-home exercise and a behavioral interview.

G2i seeks a staff/principal-level engineer to evaluate the quality of interactions with AI coding agents (OpenAI Codex, Claude Code, Cursor). This is a contract role (~10–20 hours/week, start ASAP through early May) focused on judging usefulness, high-level correctness, explanations, and engineering judgement rather than writing production code. Rate listed at $100–$200/hour; process includes a take-home exercise and one behavioral interview.

Contract role (10–20 hrs/week) evaluating the quality of interactions with coding agents like OpenAI Codex and Claude Code. Responsibilities include judging usefulness, correctness at a high level, engineering judgment, and quality of explanations; providing clear, opinionated feedback; and helping define evaluation standards. Rate: $100–$200/hour. Duration through early May, start ASAP.

The Director, AI Governance & Enterprise Solutions is the senior AI technical lead responsible for the Momentive Context Library, defining and enforcing technical standards for AI agents, leading agent review and approval, building agents and tooling for the AI Operations Hub, and advising spoke teams on architecture, deployment, monitoring, and security. Requires 7+ years in software/AI systems with at least 3 years working with LLMs, agent architectures, and production AI deployments.

The Sr. Machine Learning Engineer will collaborate with product teams to design, develop, deploy, and monitor production AI/ML solutions, including LLM-powered applications, RAG systems, knowledge graphs, scalable data pipelines, and MLOps practices. Preferred experience includes Python, PyTorch/TensorFlow, GCP (Vertex AI, BigQuery), vector databases, model serving, CI/CD, and production monitoring. Role typically reports to a Software Engineering Manager and may require 5–20% overnight travel. A pay range of $100,000–$180,000/year is listed for certain U.S. residents in the posting.

Lead end-to-end product and engineering efforts to improve Copilot code review quality, context, memory, and evaluation infrastructure. Responsibilities include designing evals and metrics, making quality/latency/cost tradeoffs, shaping experiences across VS Code/Copilot app/CLI, and keeping distributed services healthy (including on-call).

Lead and grow engineering teams building AI/GenAI (including LLMs and Agentic AI) solutions to automate compliance operations. Responsible for designing, delivering, and operating multi-tenant distributed cloud systems at scale, driving engineering quality, architecture reviews, incident response/on-call participation, and cross-functional collaboration with Product and Compliance. Requires at least 10 years software engineering experience and 5 years engineering management (including 2 years managing managers).

Technical leader responsible for architecting and driving implementation of large-scale, low-latency distributed inference systems and full model lifecycle management. Requires deep expertise in GPU architecture and low-level performance tuning (CUDA, kernels), cloud-native multi-tenant model serving, orchestration (Kubernetes, Ray), and open source ecosystem engagement. Minimum 16+ years technical experience and significant leadership experience (7–10+ years cited).

Capital One is hiring a Distinguished AI Engineer to design, develop, deploy, and support foundation model training, LLM inference, similarity search, guardrails, model evaluation, and observability at scale. The role requires deep engineering and ML expertise (Python, Go/Scala/Java/C++/C#), experience with cloud platforms (AWS/GCP/Azure), and demonstrated ability to optimize training and inference for scalability, latency, throughput and cost. The position is remote-eligible and Capital One may sponsor employment authorization.

Red Hat seeks an Architect, AI Platform to lead design and delivery of container-native MLOps pipelines and production-ready AI solutions using Red Hat OpenShift and OpenShift AI. The role involves architecting model deployment (KServe, vLLM, TGI, Triton), automated benchmarking, customer-facing consulting and PoC work, mentoring, and producing architectural documentation. Remote (US) role requiring substantial experience in cloud, Linux, Kubernetes/OpenShift, and production AI systems.

Develop and maintain coding-intensive training (Java, REST APIs) and lab environments focused on agentic AI topics—tool/function calling, RAG, prompt engineering, context management, and orchestration. Role requires hands-on experience building AI agents (e.g., LangChain, LangGraph, Claude Agent SDK), 3+ years creating technical training/curriculum, and familiarity with Git and API tooling.

NVIDIA seeks a Senior Solutions Architect for Industrial Engineering to advise CAE/CFD/FEA ISVs, simulation platforms, and OEMs. Role involves accelerating solvers on NVIDIA GPUs/HPC, applying physics-ML and surrogate models, using Omniverse for digital twins, analyzing application architectures, and delivering trainings and demos. Requires 8+ years in computational engineering or simulation, strong numerical methods background, and hands-on experience with tools like Ansys, OpenFOAM, and languages such as Python and C/C++.

Senior AI Engineer responsible for translating AI concepts into enterprise-ready products: developing scalable LLM/agent-based applications, orchestration layers, and cloud-native MLOps (Docker, Kubernetes/GKE, Terraform, CI/CD). Requires 6+ years experience, strong Python and production AI delivery skills. Role is remote with requirement to be legally permitted to work in the United States; travel typically 5–20%.

Staff-level backend role responsible for setting technical direction and delivering autonomous and scheduled agents that operate on customer repositories, and improving the DAP onboarding experience. Requires deep hands-on Ruby/Rails experience, experience integrating LLMs into products, building agentic systems, and driving design and delivery of complex, high-scale systems in a distributed, async-first environment.

CrowdStrike seeks a hands-on Principal/Staff-level Data/AI Platform Engineer to architect, implement, and operate large-scale data platforms powering LLMs, RAG, and agentic systems. The role requires 5+ years in data/platform engineering (with 3+ years on AI/ML platforms), deep experience in LLM engineering, distributed systems, MLOps/DataOps, and production-grade tooling across cloud, streaming, and orchestration technologies. US base salary range: $195,000–$290,000/year.

Lead the design and delivery of full-stack internal AI applications that incorporate LLMs, agents, retrieval systems, workflow automation, enterprise integrations, and application-level identity/authorization. Partner with platform and business teams to instrument telemetry, ensure security and compliance, and convert prototypes into repeatable, production workflows. Requires 7+ years software engineering experience.