Salary guide
| Measure | Annual pay (USD) |
|---|---|
| 25th percentile | $332,000 |
| Median | $356,000 |
| 75th percentile | $399,000 |
| Lowest listing | $180,000 |
| Highest listing | $1,300,000 |
| Listings counted | 263 |
| Level | Listings | Median pay |
|---|---|---|
| Mid-level | 13 | $363,000 |
| Senior | 12 | $300,000 |
| Company | Open listings | Median pay |
|---|---|---|
| OpenAI | 73 | $356,000 |
| Anthropic | 71 | $403,000 |
| Perplexity | 33 | $313,000 |
| NVIDIA | 19 | $352,000 |
| Decagon | 14 | $300,000 |
| Hark | 6 | $315,000 |
| Mercor | 5 | $360,000 |
| Veeam Software | 5 | $328,000 |
| Country | Currency | Listings | Median pay | Middle half |
|---|---|---|---|---|
| United States | USD | 241 | $356,000 | $335,000 to $396,000 |
| Canada | USD | 5 | $373,000 | $363,000 to $403,000 |
We are seeking a Member of Technical Staff to help advance the evaluation and development of frontier coding agents.
We are seeking a Research Engineer to operate at the frontier of Reinforcement Learning (RL), developing novel environments, training pipelines, and evaluation systems that advance the capabilities of modern AI models.
Join our research team as a Member of Technical Staff (MTS), Medical & Health Research, where you'll help advance AI systems capable of supporting healthcare, clinical, and biomedical workflows.
Join our research team as a Member of Technical Staff (MTS), Law Research, where you'll help define the frontier of AI-powered legal reasoning.
Design and implement high-performance TPU kernels to enhance AI model efficiency. Responsibilities include kernel optimization, debugging, and collaborating on system architecture.
OpenAI · 20d ago
The ChatGPT Learning team creates the next generation of learning experiences within ChatGPT. Millions of people use ChatGPT each week to explore concepts, practice skills, and work through challenges, making learning one of the platform’s largest consumer use cases.
The Connector Ecosystem team builds the platform and product experiences that let people extend ChatGPT and Codex. We work on plugins, skills, connectors, interactive apps, and open standards like the Model Context Protocol (MCP).
This team builds and operates the systems that enable OpenAI researchers to run reliable, scalable, and efficient research workflows.
Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products.
Our Inference team brings OpenAI’s most capable research and technology to the world through our products. We empower consumers, enterprises and developers alike to use and access our state-of-the-art AI models, allowing them to do things that they’ve never been able to before.
The Platform Systems team at OpenAI operates at the intersection of cutting-edge AI and large-scale distributed systems. We build the engineering and research infrastructure required to train OpenAI’s flagship models on some of the world’s largest, custom-built supercomputers.
The Workload Networking team is responsible for the collective communication stack used in our largest training jobs.
True Talent Solutions Partners · 10d ago
Join a small applied research team working directly with frontier AI research organizations on challenging post-training problems. This research-first role focuses on reinforcement learning, training data, and experiments that improve model capabilities.
Project leads at Mercor run and scale distinct data production businesses, each hiring and upskilling thousands of experts, while managing throughput and quality.
Some of the most valuable work on Mercor's platform is code —the tasks, problems, and solutions that train and evaluate the world's frontier coding models.
The Applied AI org builds the systems that turn human expertise into training data for frontier models, task pipelines, expert workflows, evaluation infrastructure, and the services that tie them together.
The Applied AI org builds the systems that turn human expertise into training data for frontier models, task pipelines, expert workflows, evaluation infrastructure, and the services that tie them together.
We are looking for a Senior Staff or Principal Software Engineer who has played a significant role in removing the driver from an autonomous vehicle operating on freeways, and who can help Zoox navigate that same journey.
Compute Foundations builds the software that manages OpenAI’s GPU compute infrastructure across sites, data centers, and infrastructure providers, supporting model training and inference.
Frontier Systems Foundations, part of Compute Foundations at OpenAI, builds the systems software foundation that turns new compute infrastructure into reliable, usable capacity for frontier model training.
We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT.
As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable.
Cloud Infrastructure builds the shared platforms behind ChatGPT and the OpenAI API. We work across engineering and product teams to make infrastructure reliable, secure and easier to use as OpenAI grows.
As an engineer within Fleet infrastructure, you will design, write, deploy, and operate infrastructure systems for model deployment and training on one of the world’s largest GPU fleet.
The Engineering Acceleration Delivery / Continuous Deployment team builds and operates the systems that safely ship OpenAI’s infrastructure and product code to production.
The Engineering Acceleration team designs, builds and maintains the foundational systems that engineers use to build ChatGPT and the API.
The Plugin Ecosystem team builds the platform and product experiences that let people extend ChatGPT and Codex. We work on plugins, skills, connectors, interactive apps, and open standards like the Model Context Protocol (MCP).
The Plugin Developer Platform team builds the APIs, SDKs, and tools that let people extend ChatGPT and Codex. We work on plugins, connectors, the Model Context Protocol (MCP), and interactive apps.
The Engineering Acceleration team builds and operates the foundational systems that engineers use to build, test, and ship ChatGPT, the API, and OpenAI's infrastructure.
Claude Design lets anyone collaborate with Claude to create polished visual work: interactive prototypes, product mockups, slides, and animations.
Bringing Claude to scientists and engineers is a big part of building toward that future.
Platform Intelligence turns each new Claude model's abilities into API features that developers can build on. Our goal is to make the full intelligence of each model available through the API.
A connected Claude is the difference between a general-purpose chatbot and a real coworker.
Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through.
Platform Safety builds the infrastructure that lets Anthropic bring its most capable models to more people, safely and securely. Our systems decide both who can access our most advanced models, and what capabilities they can access, wherever Claude is available.
Anthropic is looking for Software Engineers to join the Memory & Search team. We own how Claude remembers you and how it finds what it needs, across Claude.ai, Cowork and Claude Code.
Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude often have the most demanding needs, with rigorous requirements around end-user experience, procurement, security, and permissions.
As of May 2026, Claude authored more than 80% of the code we merge . In September 2026, we merged more than 30,000 changes per day . Writing a change is fast now, and the hard part is knowing what is correct and safe to ship.
Claude Science is a big part of building toward that future.
The Auth & Identity team builds the authentication, authorization, and identity platform that underpins every Anthropic product: the API, Claude Code, Claude.ai, and our Enterprise offerings.
The Platform Portability team owns the abstractions, tooling, and deployment infrastructure that make this possible without every engineering and research team needing to become experts in different clouds.
We are looking for experienced backend and distributed systems engineers to join the Agentic Systems team within our Platform organization. Agentic Systems builds Claude Managed Agents: the hosted platform for building, running, and scaling production agents on Claude.
The Claude Platform is growing rapidly and serves developers and enterprises at scale. Reaching the next tier of enterprise customers requires transforming how and where we deploy it, as well as the set of features we support out of the box.
As agents take on more real-world work, we're taking a leading role in defining how they get access to external systems — safely, with the right permissions, and in ways enterprises can trust. We ship standards and services used by claude.ai, Claude Code, Cowork, and the API.
We build and run the secure execution environment behind Claude's agentic capabilities. When Claude writes and runs code, browses the web, or uses a computer, that happens on infrastructure our team owns. We work at the intersection of systems engineering and security.
This is a foundational role. As one of our first dedicated privacy engineers, you will help establish the privacy engineering function at Anthropic and shape how privacy is designed into our AI systems from the ground up.
We focus on organizational context and workflows (plugins, skills, connectors, webhook-triggered processes / agents). In other words, we focus on products that form the connective tissue that lets Claude operate across an organization.
The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.
Anthropic is seeking talented and experienced Staff+ Software Engineers to join Developer Acceleration within the Developer Productivity organization.
Over the past year, AI has transformed how software engineering happens; for the rest of knowledge work, though, using AI still mostly means answering questions and producing first drafts — a small slice of the actual job.
The median Software Engineer salary in our $400k+ listings is $356,000 a year, based on 263 live USD listings. The middle half of listings pays $332,000 to $399,000. These figures cover only listings that publish a salary of $400k+ or more, so they sit above pay for Software Engineer roles overall.
Individual $400k+ Software Engineer listings range from $180,000 to $1,300,000 a year. The 25th percentile of listing midpoints is $332,000 and the 75th percentile is $399,000.
Median pay by level in our $400k+ listings: mid-level $363,000 (13 listings), senior $300,000 (12 listings). Levels with fewer than 5 listings are left out.
The companies with the most open $400k+ Software Engineer listings are OpenAI (73 listings, median $356,000), Anthropic (71 listings, median $403,000), Perplexity (33 listings, median $313,000), NVIDIA (19 listings, median $352,000) and Decagon (14 listings, median $300,000).
The figures come from the salary ranges employers publish in their own job listings, collected from company career pages and applicant-tracking systems. Each listing counts once, at the midpoint of its range. Only USD listings go into the headline figures, and listings that are closed or stale are removed. The data was last refreshed on November 12, 2026.
Yes. Each listing is tagged remote, hybrid or on-site, and remote roles carry a region (US only, EMEA, APAC or global), so you can filter the live job list to the arrangement you want.
United States
Canada
UK