Salary guide · $100k+
Live salary signals from $100k+ roles. Remote, hybrid, and on-site jobs included; refreshed daily with $100k+ openings.
Median base salary
$200,000/yr
Typical range
$80,000–$536,000/yr
Salary band
$100k+
United States
$200,000/yr median
$80,000–$536,000 range · 1811 datapoints
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.
The API Platform turns frontier research into reliable capabilities that developers use to build transformative products and services for people around the world. API Safety's goal is to ensure safe deployment of frontier models in the API.
OpenAI · 2mo ago
Agent Runtime builds the shared agent primitives and compute runtime that power OpenAI products and applications. As agents take on more complex, longer-running tasks, we build the systems that let them maintain state, use tools, and work reliably in the environments they need.
API Enterprise Controls is part of the API Infrastructure organization and owns the platform capabilities that help developers, startups, and enterprises adopt the OpenAI API securely and confidently.
API Multimodal builds the developer-facing products and infrastructure that bring OpenAI’s image, audio, and real-time model capabilities into the world. We are responsible for high-scale multimodal APIs, including image generation and Live API .
Codex is OpenAI's software engineering agent. Codex Security extends that work into one of the most important product areas in AI: helping organizations find, validate, prioritize, and fix real vulnerabilities in the software they build and depend on.
API Multicloud partners with cloud service providers (CSPs) to bring OpenAI’s frontier models and APIs into the cloud environments where developers and enterprises already build.
The Applied team safely brings OpenAI's technology to the world. We released ChatGPT; Plugins; DALL·E; and the APIs for GPT-5, embeddings, and fine-tuning. We also operate inference infrastructure at scale. There's a lot more on the immediate horizon.
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.
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.
OpenAI · 7mo ago
The Platform Analytics team builds the systems OpenAI researchers use to understand the quality and behavior of the models we train including what models are doing, why they behave in a particular way, and how that behavior changes across experiments.
We’re building the observability product for OpenAI—from scalable infrastructure to a rich, AI-powered UI. Our systems ingest over petabytes of logs and billions of time series metrics across our fleet.
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.
The Database Systems team specializes in high-performance distributed databases.
Online Data builds and operates Habitat, the single product surface of Online Data and the system of record for OpenAI’s online user data.
The Youth Well-Being product team is part of the Integrity pillar at OpenAI, responsible for ensuring that our state-of-the-art AI technologies are deployed in safe, age-appropriate, and beneficial ways—especially for youth and families.
Data Platform at OpenAI owns the foundational data stack powering critical product, research, and analytics workflows.
The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale.
The Hardware Health and Observability team owns the end-to-end health lifecycle of OpenAI’s global compute fleet.
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.
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.
We are looking for a Software Developer to contribute to our Veeam Kasten data management platform , purpose-built for Kubernetes, ensuring top-tier security and excellence.
We are seeking a Senior Software Engineer to join the Performance Engineering team for Data Connectors & High-Scale Ingestion.
Great opportunity to join the core group at NVIDIA working to architect and build scalable and distributed NGC Cloud services. Be a technical leader on various projects across the platform, and be a major contributor of the entire platform’s architecture.
Drive rack-scale SW/FW architecture alignment across CSP engagements — including fabric management software, link health monitoring, GPU/NVSwitch error handling, SW/FW serviceability features (e.g., hot-plug support, component isolation, firmware-driven recovery), and…
Own architecture and lead implementation of large-scale OpenStack infrastructure supporting bare-metal provisioning, virtual machines, and engineering workloads spanning several datacenters around the globe.
NVIDIA · 4d ago
Drive reliability work streams with CSP engineering teams — ensuring shared understanding of MTBI measurement methodology, failure classification, and health monitoring architecture.
Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software.
Drive performance characterization work streams with engineering teams of key CSP/hyperscale customers — ensuring they understand platform performance expectations, profiling methodology, and tuning options for their specific workloads.
100% hands-on coding role in C language, Kernel and Userspace. Access advanced AI tools and a token budget for code development provided by NVIDIA, the world's AI factory leader.
Drive system software architecture alignment and technical deep dives, acting as the primary software engineering contact for NPI projects with key customers.
Define technical strategy and development of NVIDIA’s Data Center diagnostic systems, orchestrating large-scale stress testing for CPUs, GPUs, networking, memory, and high-speed interconnects.
Improve reliability, performance, observability, release confidence, and end-user experience across desktop, web, and service-based AI products.
Build scalable mapping systems using crowdsourced perception data and multi-camera video collected from a vast number of vehicles. Develop 3D reconstruction, structure-from-motion, pose estimation, and multi-view geometry algorithms for large-scale road scene understanding.
Own APF Core Services: Build and harden the Runtime Policy Verifier, signed policy bundle verification, trust-root handling, freshness, rollback protection, subject binding to attested runtime context, revocation checks, and authorization APIs used by APF-compatible enforcement…
Shape the architecture of the hardware abstraction layers and core system libraries, and own the API contracts for the components you lead. Design and implement drivers, runtimes, and data movement and aggregation pipelines that execute workloads on novel silicon.
Develop Java, Scala and CUDA/C++ libraries to accelerate DataFrames and I/O operations on common file formats such as Parquet, ORC and JSON. Enable interoperability with table formats such as Apache Iceberg and Delta Lake, and metastores such as Unity Catalog.
Define and prototype AI system architectures spanning optical and e-beam inspection, wafer and mask inspection, metrology, defect review, equipment signals, and process data.
Designing and building world-class software-defined network infrastructure grounded in EVPN and BGP architectures. Contributing to software development processes with meticulous attention to detail. Performing code reviews to ensure reliable and correct feature implementation.
This page pulls live $100k+ software engineer roles filtered to United States, including remote and hybrid openings tagged for this market. Salary ranges are shown in local currency where provided, and converted bands (like €90k+/£75k+/CHF 120k+) are used to align with regional expectations. Every listing comes from an ATS-powered company board and is expired when it goes stale, keeping the sample fresh. As new roles are published, medians and ranges update automatically. Use the salary band toggles to see how compensation shifts at higher thresholds and explore the live openings below to move from research to application in one click.
San Francisco, USA