Salary guide
| Measure | Annual pay (USD) |
|---|---|
| 25th percentile | $187,000 |
| Median | $223,000 |
| 75th percentile | $269,000 |
| Lowest listing | $80,000 |
| Highest listing | $1,300,000 |
| Listings counted | 2,652 |
| Level | Listings | Median pay |
|---|---|---|
| Mid-level | 50 | $250,000 |
| Senior | 941 | $205,000 |
| Lead | 29 | $190,000 |
| Company | Open listings | Median pay |
|---|---|---|
| NVIDIA | 189 | $204,000 |
| OpenAI | 128 | $356,000 |
| Roblox | 108 | $269,000 |
| Anduril Industries | 84 | $222,000 |
| Anthropic | 74 | $403,000 |
| Databricks | 63 | $216,000 |
| Snowflake | 58 | $244,000 |
| Nuro | 46 | $291,000 |
| Country | Currency | Listings | Median pay | Middle half |
|---|---|---|---|---|
| United States | USD | 2,432 | $223,000 | $189,000 to $269,000 |
| Canada | USD | 66 | $225,000 | $197,000 to $255,000 |
| United Kingdom | USD | 6 | $219,000 | $184,000 to $231,000 |
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.
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.
We build across GPUs, TPUs, and Trainium, and the complexity of our development environment grows with every platform we add.
Engineers in this role will be working across the stack to scale our products from 0 to 1 and beyond.
We are looking for experienced software engineers to join our Platform organization.
Anthropic is seeking talented and experienced Software Engineers to join our Observability team within the Infrastructure organization.
Anthropic is seeking an exceptional Senior Staff Software Engineer to join the Claude Developer Platform team and serve as the senior-most individual contributor across API Engineering.
Data Infrastructure designs, operates, and scales secure, privacy-respecting systems that power data-driven decisions across Anthropic. We're looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability.
Anthropic is seeking talented and experienced Infrastructure Engineers to join our team and support the development, scaling, and maintenance of our cutting-edge AI systems.
How do we know whether a model is safe - and how do we know whether the systems we built to catch misuse actually catch it? We measure model behavior across misuse, prompt injection, and user well-being to inform training and deployment decisions.
Anthropic is looking for a Staff+ Software Engineer to work on the vector search infrastructure behind Claude. Retrieval is how Claude learns about the world.
Every time Claude runs code, uses a computer, or works as an agent, it does so inside a sandbox. Our Sandboxing team builds the isolation layer behind that work.
Partnering closely with counsel, we provide custom infrastructure and guidance for complex, novel technical matters, empowering teams across the company to continue meeting our legal obligations as we innovate.
The Account Abuse team is tasked with ensuring Anthropic's computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back.
The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs).
Our Inference team is responsible for building and scaling the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments.
As Claude's capabilities grow, so does our responsibility to ensure those capabilities reach the right people.
We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being.
We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being.
We collaborate closely with safety researchers and inference engineers to bring new classifiers and novel classes of ML defenses to production. We own the research → production transfer of new safety technologies that is on the critical path for every Claude model launch.
The Safeguards ML Sampling Path team builds and operates the production services that power Claude's safety systems.
We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and support user well-being.
The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated.
Anthropic · 4mo ago
The Safeguards team is responsible for ensuring our models and products are developed and deployed safely.
The Fraud Prevention team protects Anthropic's payment and monetization surfaces from financial abuse — keeping fraud losses, dispute rates, and network monitoring exposure in check while preserving a smooth experience for legitimate customers.
Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments.
We're looking for a Software Engineer to work at the intersection of engineering and research on the Claude Code team. In this role, you'll collaborate directly with Anthropic's researchers to improve Claude’s coding capabilities through tooling, infrastructure, and evaluations.
Anthropic · 10mo ago
Claude App Infrastructure owns the reliability, experience, and agentic capabilities of claude.ai. This is where the next generation of the product gets built: the primitives that let Claude act in the world, not just respond.
This role focuses on developing cutting-edge AI systems with a mission to ensure safety and societal benefit. You'll work on technical challenges in a collaborative environment across key tech hubs.
Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models.
Perplexity · 15d ago
Build a self-serve compute platform. Design and own the systems that let inference engineers and researchers launch training jobs and operate inference services without managing GPU provisioning, cluster configuration, or provider-specific infrastructure. Operate the GPU fleet .
Research & Development. Post-train SOTA LLMs using the latest supervised and reinforcement learning techniques (SFT/DPO/GRPO). Leverage our rich query/answer dataset to scale model performance across Sonar, Deep Research, Comet, and Search products.
Perplexity · 7mo ago
We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us.
AI for Chips connects these efforts: applying increasingly capable AI systems to the work of semiconductor engineering. Our goal is to help engineers develop better chips and shorten design cycles.
Lambda · 19d ago
We are seeking a seasoned Staff Storage Software Engineer with deep experience designing and deploying storage protocol solutions at scale across object, block, and file paradigms.
Lambda · 1mo ago
We are seeking a Staff Engineer to help our development of our Managed Kubernetes platform. Think GKE, but purpose-built for AI workloads and running on bare metal.
As a Staff Software Engineer for the Compute pillar, you will play a critical role in defining the technical vision for Lambda's next-generation GPU and CPU host instance lifecycle and compute control plane.
Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors.
Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models.
Every perception, prediction, and planning decision runs on an onboard compute: a fixed-power, fixed-thermal, safety-critical, real-time system. That makes GPU execution one of the most consequential engineering problems in the company.
The Foundations Research team works on high-risk, high-reward ideas that could shape the next decade of AI. Our goal is to advance the science and data that enable our training and scaling efforts, with a particular focus on future frontier models.
Life sciences is one of the clearest areas where advances in intelligence can meaningfully benefit the world at large.
Define architecture, standards, and deliver solutions end to end. You will lead builds across Node.js services, AI and agent workflows, and integrations with enterprise systems, owning quality and reliability.
The median Software Engineer salary in our $100k+ listings is $223,000 a year, based on 2,652 live USD listings. The middle half of listings pays $187,000 to $269,000. These figures cover only listings that publish a salary of $100k+ or more, so they sit above pay for Software Engineer roles overall.
Individual $100k+ Software Engineer listings range from $80,000 to $1,300,000 a year. The 25th percentile of listing midpoints is $187,000 and the 75th percentile is $269,000.
Median pay by level in our $100k+ listings: mid-level $250,000 (50 listings), senior $205,000 (941 listings), lead $190,000 (29 listings). Levels with fewer than 5 listings are left out.
The companies with the most open $100k+ Software Engineer listings are NVIDIA (189 listings, median $204,000), OpenAI (128 listings, median $356,000), Roblox (108 listings, median $269,000), Anduril Industries (84 listings, median $222,000) and Anthropic (74 listings, median $403,000).
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
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United Kingdom