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 · 1827 datapoints
Build primitives for self improvement: Create the feedback loops, evaluation systems, memory, signals, and decisioning infrastructure that help long-running agents learn from outcomes and improve over time.
The agent must collect and use a card number but can never see it. This work sits across four hard technical domains: payments, security, real-time voice, and LLMs. Voice is the core challenge.
When someone calls an airline, texts a retailer, or opens their bank's app and talks to a Sierra agent, our systems carry that conversation. Phone calls, SMS, WhatsApp, email, and the chat inside our customers' apps all run through this team.
Reporting & Experimentation: Build a system for analyzing and visualizing millions of data points about agent performance. Enable agent developers to run A/B test their agents to make data-driven decisions about agent behavior.
Simulation & Benchmarking: How can we craft a simulation platform to test AI agents against every real-world scenario imaginable? Content Management: How do we create intuitive, no-code tools that allow anyone to guide and test AI agents?
Build the core systems that power agents. You’ll work on the Agent SDK — the orchestration engine, runtime, and primitives that define how agents reason, take actions, and interact with users and systems. Design the agentic loop.
The Inference team builds the systems that make those models fast, reliable, and efficient at scale. As a Software Engineer on Inference, you’ll help define Sierra’s inference architecture across both self-hosted models and third-party inference providers.
Agent Architecture: What primitives do we need to build agents that are steerable and verifiable, but also conversational and empathetic? How do we future-proof this as LLMs evolve? Retrieval: How do we ground answers in a customer’s knowledge base?
As a Software Engineer, Infrastructure at Sierra, you will be responsible for designing, building, and maintaining the core systems that make our AI platform possible.
Our work spans several security domains. You’ll go deep where your strengths and interests are strongest, with opportunities to explore new areas alongside the team. Build the Foundations of Trust.
Build Sierra’s platform. You will work on the platform primitives that power how agents are built, orchestrated, and deployed. Invent the foundations of agent development.
Design and deliver production-grade AI agents : You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth.
Design and deliver production-grade AI agents : You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth.
Sierra · 1mo ago
Design and deliver production-grade AI agents : You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth.
Design and deliver production-grade AI agents : You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth.
Design and build production-grade AI agents for government institutions at the Federal and state level. Partner closely with industry leadership to build our public sector team, including our capture motion, market strategy, and product components to scale quickly.
Design and deliver production-grade AI agents : You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth.
Design and deliver production-grade AI agents for healthcare: You'll build and ship highly performant, reliable, and empathetic AI agents that handle sensitive patient and member interactions.
Sierra · 4mo ago
Design and deliver production-grade AI agents : You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth.
Design and deliver production-grade AI agents : You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth.
At Zoox, you will collaborate with a team of world-class engineers with diverse backgrounds in areas such as AI, robotics, mechatronics, planning, control, localization, computer vision, rendering, simulation, distributed computing, design, and automated testing.
As a Principal Technical Lead on Onboard Performance, you will help define and build the high-performance, highly reliable foundation of the Nuro Driver.
As a Staff / Senior Staff Technical Lead on Onboard Performance, you will help define and build the high-performance, highly reliable foundation of the Nuro Driver.
ServiceNowNew · 6h ago
Join the Compute Engineering organization, which builds the scheduling, capacity, and performance systems that run our platform across private and public cloud.
ServiceNowNew · 1d ago
Decide what data lives where, weighing business value, performance, retention, and cost, and remove duplication across systems.
The Context Engine is ServiceNow’s platform for connecting enterprise data, knowledge graphs, and AI workloads into a single, governed context layer.
OpenAI · 23d ago
The Privacy Engineering team builds secure, reliable systems that help OpenAI meet its legal obligations while protecting user data. We partner closely with Legal and engineering teams across OpenAI to support lawful data access requests and other critical legal workflows.
Dots is building personal AI agents that help people make progress on their goals, including when they are away from ChatGPT. These agents can learn preferences, maintain context, work across applications, and use cloud computers to carry out tasks.
We build AI systems that support patients, clinicians, and healthcare organizations while setting a high standard for deploying AI responsibly in a high-stakes domain. We serve health care systems, insurance companies, and the broad range of healthcare IT companies.
The Statsig team within OpenAI owns the experimentation, rollout, dynamic configuration, and analytics infrastructure that sits on the launch path for OpenAI products.
The Consumer Products team at OpenAI builds end-to-end hardware and software systems that bring AI into the physical world.
We build foundational platform software that enables reliable, secure, and performant products. The team works across system layers and partners closely with adjacent engineering groups to deliver robust capabilities from concept through launch.
The Connectivity Software Engineering team is responsible for enabling seamless, secure, and high-performance wireless connectivity across OpenAI’s products.
A key part of achieving that mission is training models that deeply understand and reflect human preferences — the Human Data team is at the heart of that effort. The Human Data engineering team creates the systems that enable scalable, high-quality human feedback.
The Integrity team builds the systems that protect OpenAI’s products, users, and ecosystem from abuse. We work across product engineering, infrastructure, safety, and operations to detect and prevent harmful, fraudulent, deceptive, and adversarial activity at global scale.
The GPT Infrastructure team builds systems that turn advances in model inference and optimization into reliable production capabilities.
The Scaling team is responsible for the architectural and engineering backbone of OpenAI’s infrastructure. We design and deliver advanced systems that support the deployment and operation of cutting-edge AI models.
Customer education helps customers and partners build the practical skills and confidence to use AI and OpenAI products safely and effectively.
The Agent Platform team at OpenAI builds the production systems that bring useful AI agents to users around the world. We provide the platform that enables agents to execute code, use tools, and interact with software reliably and securely at scale.
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