Salary guide
| Measure | Annual pay (USD) |
|---|---|
| 25th percentile | $265,000 |
| Median | $300,000 |
| 75th percentile | $345,000 |
| Lowest listing | $125,000 |
| Highest listing | $1,300,000 |
| Listings counted | 835 |
| Level | Listings | Median pay |
|---|---|---|
| Mid-level | 27 | $328,000 |
| Senior | 76 | $272,000 |
| Lead | 5 | $270,000 |
| Company | Open listings | Median pay |
|---|---|---|
| OpenAI | 126 | $356,000 |
| Anthropic | 76 | $403,000 |
| NVIDIA | 40 | $320,000 |
| Perplexity | 36 | $313,000 |
| Roblox | 31 | $320,000 |
| Snowflake | 29 | $288,000 |
| Sierra | 23 | $310,000 |
| True Talent Solutions Partners | 22 | $258,000 |
| Country | Currency | Listings | Median pay | Middle half |
|---|---|---|---|---|
| United States | USD | 768 | $300,000 | $270,000 to $346,000 |
| Canada | USD | 23 | $265,000 | $255,000 to $294,000 |
Our partner is looking for a Senior Staff Software Engineer – Builder Platform based in Canada.
Join our Builder Platform Team as a Senior Staff Software Engineer.
We seek an experienced, passionate, and resourceful Senior Staff Software Engineer to join our product engineering team. You will work cross-functionally with various teams and contribute to designing and developing our core products.
We are looking for a Principal Software Engineer to own the long-term networking vision for all of SoFi. You will sit on the Cloud Platform team, but your scope and impact are company-wide.
As a Principal Software Engineer in the Data Platform Group, you will provide hands-on technical leadership within the Data Trust pillar.
Join Anthropic to develop reliable, interpretable, and steerable AI systems. This role focuses on alignment science to ensure AI safety and societal benefit.
8+ years of experience in applied Machine Learning, inclusive Ph.D. or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
As a Staff or Senior Staff Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects that span multiple Product Engineering teams and product lines.
As a Staff Software Engineer on the Model Infrastructure team, you'll lead the design and development of the systems that power every AI request at Harvey.
We’re looking for a Production Engineer to help build and operate Harvey’s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations.
As a Software Engineer, Agents, you'll build the systems that make our AI agents indispensable to legal professionals.
Legal is one of the hardest domains for AI: documents run to hundreds of pages, matters can span millions of files, and there is zero margin for error on accuracy. The AI Platform team builds the foundation that every product and agent team at Harvey builds upon.
Legal professionals spend most of their day in Microsoft Word: drafting, reviewing, and refining complex documents that shape meaningful outcomes. It's one of our most strategic product lines and a key part of how we meet lawyers where they already work.
The Developer Experience team is what keeps Harvey’s fast growth momentum possible — the kind of fast where every week brings new products, new capabilities, and new challenges.
As a Staff Software Engineer on the Intelligent Tooling team, you will build and operate internal systems that directly impact how engineers across Plaid do their work, and own the technical direction for major parts of that surface.
The Engineering Platform team helps 300+ Ramp engineers move faster without breaking things. We work across the full software development lifecycle, including local development, CI/CD, testing, service frameworks, reliability, architecture, performance, and maintenance.
You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact.
Architect Agentic Runtimes: Build and scale the orchestration engines that execute complex agentic workflows, ensuring low-latency tool execution and robust state management.
You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact.
You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact.
The Spark Runtime Engineering Team brings Snowflake’s performance, efficiency, and reliability to Spark workloads. We build the compiler and runtime integration that translate Spark workloads into efficient execution on Snowflake’s cloud-native query engine.
Not just of the cloud era, but in the history of computing. To support this mission, the Storage team focuses on building the world's best storage platform.
You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact.
Lead the design of core metadata and replication systems across multiple teams. Set technical direction for scalability, consistency, and fault tolerance of the metadata layer. Drive cross-region and cross-cloud replication toward lower RPO and higher reliability.
Snowflake · 29d ago
You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact.
Drive Technical Vision & Architecture: Define the multi-year architecture and technical strategy for high-throughput, external-facing ingestion services and APIs across multi-cloud environments (AWS, Azure, GCP).
Every major Snowflake customer interacts with our platform through these surfaces, making AppEx central to both customer satisfaction and revenue growth. Within Appex, our team sits at the intersection of AI, platform, and user experience.
You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact.
The Snowhouse Foundation team builds our globally distributed data warehouse, managing vast petabyte-scale datasets that are continuously ingested, processed, and replicated across all Snowflake environments and external data sources.
You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact.
Every major Snowflake customer interacts with our platform through these surfaces, making AppEx central to both customer satisfaction and revenue growth. Within Appex, our team sits at the intersection of AI, platform, and user experience.
Our partner is looking for a Senior Software Engineer, Incident Lifecycle based in the United States.
The GitHub Secret Scanning team is on a mission to secure the world’s software. We build tools that help millions of developers find, fix, and prevent credential leaks. Every day, developers unintentionally commit secrets to their repositories.
It brings together large language models, agentic frameworks, and production cloud engineering. We are hiring a Principal Engineer to be the technical anchor for this product. You will own the architecture, set the engineering direction, and build alongside the team.
We are seeking an experienced Sr. Software Engineer / Staff Software Engineer, Infrastructure to lead the architecture and evolution of the core platform powering our autonomous driving software stack.
Asana · 1mo ago
We are looking for a Senior Staff Software Engineer to play a key leadership role in our Developer Productivity group and drive developer velocity and fundamentally change the software development lifecycle with AI.
The Mission Systems Software Engineer will work on developing solutions of a real time system environment to provide mission computing support at the center of an autonomous aircraft with sensor and weapons.
The Data Cloud organization is at the forefront of Workday’s next major wave of innovation, driven by a bold mandate to build the industry’s first true Platform for Agents.
ServiceNow · 9d ago
Define performance benchmarks, SLAs, and best practices. Analyze and optimize services, databases, and infrastructure. Design and execute load, stress, and scalability tests. Build observability and monitor performance metrics of production systems.
As a Senior Staff Engineer in HRSD, you set the technical direction for model-driven capability across the HR domain, the agentic and conversational experiences that interpret employee, manager, and HR agent intent, reason over profile, case, catalog, policy, and knowledge…
MicronNew · 2d ago
Define clocking architectures, power sequencing, power delivery, and on-die signal interfaces. Define and analyze on-die power delivery networks (PDN) and full-chip thermal implications, including power hot-spot identification and mitigation.
Architect, design and implement RTL for SoC‑level blocks and subsystems used in HBM logic die. Architect and design memory sub-systems including memory IP selection and integration, bus and protocol selection, and power/performance/area optimization.
Build and deploy: Design and implement network automation for new builds and bring-ups, from zero-touch provisioning and config generation to validation and handoff to operations.
The median Software Engineer salary in our $300k+ listings is $300,000 a year, based on 835 live USD listings. The middle half of listings pays $265,000 to $345,000. These figures cover only listings that publish a salary of $300k+ or more, so they sit above pay for Software Engineer roles overall.
Individual $300k+ Software Engineer listings range from $125,000 to $1,300,000 a year. The 25th percentile of listing midpoints is $265,000 and the 75th percentile is $345,000.
Median pay by level in our $300k+ listings: mid-level $328,000 (27 listings), senior $272,000 (76 listings), lead $270,000 (5 listings). Levels with fewer than 5 listings are left out.
The companies with the most open $300k+ Software Engineer listings are OpenAI (126 listings, median $356,000), Anthropic (76 listings, median $403,000), NVIDIA (40 listings, median $320,000), Perplexity (36 listings, median $313,000) and Roblox (31 listings, median $320,000).
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 14, 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
