- Pays more than 94% of Software Engineer jobs
- 3+ years experience
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- Benefits
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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
We are looking for a Senior/Staff Software Engineer to serve as a technical leader for Nuro’s ML Data engine. You will sit at the critical intersection of Autonomy, Machine Learning, and Infrastructure, acting as an architect for the systems that feed our autonomy AI models.
Technical Strategy & Architecture. ● Define and drive the overarching technical vision, ensuring the platform meets current and future scalability, performance, and security needs.
Shield AI · 2mo ago
The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios.
Shield AI · 2mo ago
In this role, you'll write new autonomy code — such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy — and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test…
Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies.
Shield AI · 3mo ago
Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies.
Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies.
Shield AI · 3mo ago
Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies.
Shield AI · 5mo ago
In this role, you'll write new autonomy code — such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy — and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test…
You’ll set technical direction for distributed training, parallelism strategies, mixed-precision training, and RL on SOTA accelerators, especially for multi-modal VLA and VLM models.
As a Machine Learning and System Optimization Engineer, you will orchestrate and allocate overall system capacity to various core perception models running on-bot, as well as drive large initiatives that allow for more efficient inference by sharing various parts of the…
On the Motion Planning team at Zoox, you’ll be dedicated to improving the driving behaviors of the robot on public roads.
On this team, you will contribute to the next generation of algorithmic advancements to expand our robot’s ability to drive in some of the most complex scenarios.
Are you excited to drive our ML Inference Optimization initiatives and make our ML models that enable autonomous driving as fast and efficient as possible?
We’re making large compute commitments, deploying substantial capital and starting to bill our first enterprise customers. As our first internal finance hire , you’ll own financial planning and execution, working closely with business leadership and the founders.
Join Figma's passionate team to build and scale billing platforms that support creative collaboration. This role involves technical challenges in a fast-growing environment focused on innovation.
Join our Enterprise Platform team and build the infrastructure foundations that enable the world's largest organizations to run Replit within their security and compliance boundaries.
Drive technical roadmap and strategy for the Build Systems team. Partner with cross-functional teams and leadership to identify developer pain points and design elegant, scalable solutions.
Preference Model · 3d ago
Models of the future will be able to train themselves on tasks that they are not good at. We are interested in investigating how far we can push the boundaries of self-directed learning.
Preference Model · 3d ago
We’re hiring experienced Machine Learning Engineers to design and build reinforcement learning environments to safely advance model capabilities in machine learning research and engineering.
clearstreet · 8d ago
The Algorithmic Execution Services team builds Clear Street’s electronic trading platform, delivering best execution across equities, options, and futures in U.S. and international markets.
We are looking for strong engineers with experience in making ML systems performant at scale.
Perplexity · 7mo ago
Build shared evaluation infrastructure that helps teams run reliable evals, analyze results, and make product and model decisions. Develop the platform for replaying and analyzing agent traces to reproduce production behavior and diagnose failures.
Join a small, senior team at an AI company building agents for industrial operations. In this customer-facing engineering role, you will deploy solutions in customer environments and bring field insights back to the product team.
True Talent Solutions Partners · 3d ago
Join an applied machine learning team building AI systems for accounting and finance workflows. You will own projects end to end, from defining success and running experiments to shipping reliable agent systems that can reason, plan, and evaluate their performance.
Join a fintech product team as a senior engineer focused on the craft of user experience. You will shape and build intuitive interfaces for complex mortgage workflows, bringing visual design and production engineering together.
We’re building a platform that covers the whole life of an LLM: training it, deploying it, and observing it in production. We already run multi-node training, elastic inference, sandboxes, and distributed volumes, and we control the infrastructure underneath.
Most of the value of owning a model shows up at serving time. We’re building a platform that covers the whole life of an LLM (train it, deploy it, observe it), and inference is where teams feel the difference every day.
We’re looking for strong engineers with experience building software that developers love to work with. Our ideal candidate is someone with a demonstrated drive to build beautiful abstractions that enhance developer productivity.
Design, build, and ship high-quality features across the stack, from polished front-end experiences to scalable back-end systems.
Support end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant. Collaborate with product, research, and infrastructure engineers across AI initiatives.
Design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features.
Design and build large-scale distributed data systems that power analytics, AI/ML, and business intelligence. Develop batch and streaming solutions to ensure data is reliable, efficient, and scalable across the company.
Design, build, and maintain scalable and reliable infrastructure systems that support product innovation and user collaboration at scale. Architect and evolve distributed systems including storage platforms, streaming infrastructure, and compute orchestration.
Design, build, test, and ship high-quality features across the stack, using technologies like TypeScript, React, Ruby, Go, C++, and more. Own key parts of the product that impact user experience, internal productivity, or revenue operations.
Build core features and frontend infrastructure in a real-time, multiplayer system with a complex in-memory data model (SceneGraph). Optimize performance and memory usage to deliver a fast, reliable UX in the browser using C++/WebAssembly and TypeScript.
Lead the development of early-phase AI systems to enhance user experience and develop systems to measure and improve AI performance and relevance.
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.