LLM Jobs

NVIDIA is seeking a Senior Performance Compiler Engineer to join their open-source Triton compiler project. This role focuses on improving AI performance on NVIDIA GPUs by leveraging compiler technology. You will work on cutting-edge AI applications, including large language models and agents, accelerating both training and inference. The position offers a collaborative and supportive environment to push the boundaries of AI computing.

$184k - $288k

NVIDIA is seeking a founding Director to establish and lead its Forward Deployed Engineering (FDE) organization for open models, specifically focusing on NVIDIA Nemotron and NVIDIA Cosmos across North America. The core mission is to transform open-source models into production-ready AI solutions tailored to specific domains, leveraging NVIDIA's partner ecosystem. This role involves setting the strategic direction for North America, building and scaling the FDE team, and fostering strong relationships with partners, customers, and NVIDIA leadership. The FDE team will work collaboratively with top partner engineering and research teams, co-leading joint customer engagements and developing best practices to ensure partner success and scalability. The ultimate goal is to empower organizations to build, own, and operate their AI on open-source models.

$320k - $489k

We are seeking a Senior Forward Deployed Engineer to lead technical engagements with partners and customers, focusing on NVIDIA's open model portfolio. The primary mission is to transform open models into production-ready AI solutions tailored to specific domains, covering the entire lifecycle from post-training to harness optimization. This role involves collaborating closely with NVIDIA's partner ecosystem, co-leading customer engagements, and developing resources that enable partners to scale their AI initiatives. You will work hands-on to build custom AI solutions, from initial customer conversations through to production deployment, ensuring models are optimized for performance and cost-effectiveness.

$184k - $357k

Bretton AI is seeking Product Engineers to transform complex customer challenges into elegant technical solutions. In this role, you will take ownership of significant features from their initial conception through to production. You will collaborate directly with customers to deeply understand their requirements, design scalable architectures, and deliver code that demonstrably enhances compliance operations. This position offers a blend of in-depth technical work and substantial customer impact, where you will develop systems processing thousands of cases, significantly reducing time for compliance teams and directly contributing to company revenue.

$200k - $270k

We are seeking a Senior Enterprise AI Automation Engineer to play a key role in executing Crusoe's 2026 Enterprise AI Strategy. In this role, you will design and build agentic AI systems that move the organization from simple information retrieval to orchestrated, multi-system automation. You'll operate at the intersection of AI, enterprise systems, and integration platforms—building scalable agent workflows, enabling a citizen developer ecosystem, and establishing the technical foundations for an AI-powered operating model.

$145k - $170k

Decagon is a leading conversational AI platform that empowers brands to deliver exceptional customer experiences through AI agents. Our technology enables enterprises to deploy personalized and satisfying interactions across various channels. We are building a future where customer experiences are redefined, moving beyond traditional support to foster faster resolutions, richer conversations, and deeper relationships. The Product Engineering team at Decagon is responsible for building the platform that allows customers to create, operate, and enhance their AI agents, transforming complex engineering tasks into user-friendly product features. This team is crucial for scaling Decagon's impact, with the frameworks they build supporting every agent in production, ensuring reliability and robustness across diverse workflows and constraints. They also build agents directly, using production failures as opportunities to create guardrails, evaluations, and tooling that improve the platform universally.

$200k - $400k

Decagon is seeking a Senior Software Engineer to join the Product Engineering team. This team is responsible for building the core platform that enables customers to create, operate, and improve their AI agents. You will design and build systems that allow customers to configure, train, test, and monitor sophisticated AI agents with confidence, translating complex technical capabilities into simple, usable interfaces. You will own features end-to-end, from technical architecture through deployment and iteration, working closely with product and design to understand customer use cases and ensure the right solutions are built. This role involves building self-serve functionality, designing configuration abstractions, creating AI-powered tooling for agent workflows, and developing monitoring and analytics for agent performance.

$200k - $400k

Decagon is a leading conversational AI platform that empowers brands to deliver exceptional customer experiences through AI agents. Our technology enables enterprises to deploy personalized and satisfying interactions across various channels. We are building a future where customer experiences are redefined, moving beyond traditional support to foster faster resolutions, richer conversations, and deeper relationships. The Product Engineering team at Decagon is responsible for building the platform that allows customers to create, operate, and enhance their AI agents, transforming complex engineering tasks into user-friendly product features. This team is crucial for scaling Decagon's impact, with the frameworks they build supporting every agent in production, ensuring reliability and robustness across diverse workflows and constraints. They also build agents directly, using production failures as opportunities to create guardrails, evaluations, and tooling that improve the platform universally.

$200k - $400k

Decagon is seeking a Senior Software Engineer to join the Product Engineering team. This team is responsible for building the core platform that enables customers to create, operate, and improve their AI agents. You will design and build systems that allow customers to configure, train, test, and monitor sophisticated AI agents with confidence, translating complex technical capabilities into simple, usable interfaces. You will own features end-to-end, from technical architecture through deployment and iteration, working closely with product and design to understand customer use cases and ensure the right solutions are built. This role involves building self-serve functionality, designing configuration abstractions, creating AI-powered tooling for agent workflows, and developing monitoring and analytics for agent performance.

$200k - $400k

Together AI

The Speculative Decoding team at Together AI focuses on developing draft models and algorithms to accelerate large language model generation without altering outputs. Our work spans model training, inference algorithms, and serving systems, aiming to reduce generation cost and latency. As a research intern, you will explore open questions in speculative decoding, including new drafter architectures, verification schemes, knowledge distillation, and adaptive drafters. You will train and fine-tune draft models at scale on GPU clusters and evaluate your ideas against realistic serving workloads, such as long-context and agentic traffic. Projects are designed to address key research questions in speculative decoding, leading to faster generation on frontier models, drafters that adapt to changing workloads, and robust evaluation under real traffic.

Assort Health is building a continuous conversation for every patient with an AI agent that remembers context and personal preferences. The company aims to transform healthcare administration by creating a more personalized and efficient patient experience. They have a strong growth trajectory, significant funding, and recognition as a leader in healthcare AI.

$115k - $140k

Prime Intellect is building the open superintelligence stack, a full-stack system for post-training at frontier scale. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment. We are developing open-source models trained end-to-end for long-horizon tasks and the platform our research team uses to build them. This role is for someone who wants to build at the intersection of frontier research, real infrastructure, and go-to-market for a new category. As a Research Engineer, you will build the tasks and environments that train our models through RL, and the evaluations that measure their capabilities. You will collaborate directly with researchers to diagnose model failures, examining both task implementation and success scoring.

$150k - $350k

Commure is building the AI Operating System for healthcare, transforming the industry's administrative burden with an AI-native platform. Our products span ambient AI for documentation, intelligent agents for workflows, and autonomous revenue cycle management. We are seeking a Senior Engineering Manager to lead the team responsible for the financial core of our revenue cycle product, including the ledger, reporting, and analytics. This role involves managing a team of 6-8 engineers, owning the product roadmap with a product partner, and ensuring financial correctness across the platform. The team is currently undertaking a significant rebuild of its reporting logic and ledger system while maintaining service for existing customers.

$240k - $275k

NVIDIA is seeking an Engineering Manager to lead the strategy for verifying AI compilers for next-generation deep learning workloads. This role involves managing a technical team focused on AI compiler verification, ensuring the quality of AI compilers that optimize deep learning models for GPU execution. The position requires a deep understanding of compiler quality challenges at the intersection of compilers, machine learning frameworks, numerical computing, formal reasoning, and large-scale systems engineering.

$168k - $322k

NVIDIA is building GeForce G-Assist, an on-device AI assistant that integrates Small Language Models (SLMs), retrieval systems, and hybrid cloud capabilities for responsive, context-aware assistance within the GeForce ecosystem. This role involves close collaboration across engineering and product teams to ensure G-Assist performs reliably in real-world scenarios. The focus is on production model behavior rather than just benchmarks, with an emphasis on accuracy, robustness, and conversational reliability. The team works with SLM and VLM architectures, hybrid cloud/local model architectures, and optimizes local inference for performance.

$152k - $288k

NVIDIA is seeking an AI Hardware Architect to design and analyze the next generation of Artificial Intelligence hardware, focusing on building innovative AI chips and chiplets for the AI infrastructure market. This role involves understanding computer architecture, microarchitecture, and chip design, with opportunities for continuous learning and growth. You will work on groundbreaking GPU and CPU systems, identify areas for improvement, and study the architectural implications of AI applications and models running on NVIDIA hardware.

$184k - $357k

NVIDIA is seeking a Principal Engineer to lead critical platform initiatives at the intersection of information security, enterprise collaboration, and AI. This role is pivotal in shaping how NVIDIA protects sensitive content, manages enterprise data access, and enables next-generation AI agents at scale. The platforms encompass sensitive information protection, a central data governance layer for enterprise content, and an AI knowledge platform for reliable AI agent consumption. The focus is on access control, export-control enforcement, and production readiness. This is a high-impact individual contributor role with potential for engineering leadership and management, requiring strong technical skills and the ability to influence stakeholders across Security, Legal, Finance, and AI teams.

We are seeking a Senior Power Architecture & Optimization Engineer to advance energy efficiency through sophisticated analytics and AI, including specialized LLMs for power analysis. This role is central to NVIDIA's mission of creating the most energy-efficient GPUs and SoCs, leveraging AI and LLMs as a key differentiator for future products. You will combine expertise in power architecture with machine learning, reinforcement learning, data analytics, and large language models to innovate in modeling, analyzing, and optimizing energy consumption across various design levels.

$136k - $265k

Our Internal Acceleration team is building agents to accelerate the production of frontier tokens. You will work directly with founders and embed with our production team to create new agentic harnesses and operating systems, transforming hardware development in an AI-native world. Success is measured by how much faster the company moves, not just lines of code. This role is for engineers who thrive on ambiguity, possess strong product sense, and want to own problems end-to-end, acting as a launchpad for future founders. The problems are time-sensitive and business-critical, and the role demands dedication beyond a typical 9-5.

$150k - $400k

Blee is seeking an Applied Scientist to specialize in agent system design, focusing on architecting and implementing the next generation of intelligent compliance systems. This role involves designing frameworks where multiple agents, powered by custom and foundational models, collaborate to identify, track, and explain compliance flags. You will also be responsible for building and optimizing applied AI/ML pipelines, including model fine-tuning, prompt engineering, evaluation frameworks, and customer-specific AI configurations, and training models based on user feedback to deliver more targeted compliance recommendations.

$150k - $275k