Ask HN: Who is hiring? (November 2025)

Joby | Bay Area | Full-Time

Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most.

We are looking for an experienced and motivated Mobile/Full stack Senior Software to join our Air Taxi Systems team.

Most of our apps are built with SwiftUI, TCA, and GraphQL. Our backend is a mix of Java, Rust, and Swift using Federated GraphQL.

https://careers-jobyaviation.icims.com/jobs/4324/senior-soft...

We are also hiring a variety of engineers, technicians, and corporate roles: https://www.jobyaviation.com/careers/

Stainless | Engineers, EMs, GTM, Former Founders | NYC & SF (onsite) | Full-time

When you npm install openai or pip install anthropic, you’re pulling code generated by Stainless.

We’re building the platform for high-quality, easy-to-use APIs — and companies like OpenAI, Anthropic, and Cloudflare already rely on us.

We’re ~3 years old, ~50 people, with strong revenue, several years of runway, and backing from Sequoia and a16z.

As one of our first 35 engineers, you’ll have real ownership, autonomy to build great products, and a direct hand in shaping the future of how developers consume APIs.

We’re looking for exceptionally productive, thoughtful, and kind people who want to make software development better for everyone.

Learn more & apply → https://stainless.com/jobs?utm_source=YlRQ8pvARO

Loop | loop.com | Engineering | On-site San Francisco, CA, Chicago, IL

Loop is on a mission to unlock profits trapped in the supply chain (https://www.loop.com/article/unlock-profit-trapped-in-your-s...) and lower costs for consumers. Bad data and inefficient workflows create friction that limits working capital and raises costs for every supply chain stakeholder.

Loop’s modern transportation cost management platform uses our domain-driven AI to harness the complexity of supply chain data and documentation. We improve transportation spend visibility so companies can control their costs and power profit. That is why industry leaders like Nvidia, Verizon, Dell, J.P. Morgan Chase, ABB, Estee Lauder, Tyson Foods, Yeti and Olipop, work with Loop.

1. Raised $100m+ from JPM GEP, Founders Fund, 8VC, Susa Ventures, Flexport, Index.

2. 350+ paying enterprise customers with multiple-year contracts.

3. High-caliber team of engineers and operators from Google, Scale AI, Flexport, Uber, Rakuten, Square, Meta, Stanford, Brown, Princeton, and Yale.

Fullstack Engineer San Francisco - https://job-boards.greenhouse.io/loop/jobs/4102236004

AI Engineer San Francisco - https://job-boards.greenhouse.io/loop/jobs/5391540004

Other roles at https://www.loop.com/company/careers

Lara Health | https://lara.health | Senior Back-end Engineer| USA | REMOTE | Full-time

Lara Health is on a mission to transform how healthcare is delivered for chronic care management. We enhance patient care, improve operational efficiency, and create new, diverse revenue streams for healthcare organizations.

Skills: AI agents, Python, Node.js, AWS Lambda, API Gateway, DynamoDB, S3, CloudFormation, Terraform, RDS, Pytest, Docker, Kubernetes

We are looking for leaders, self-starters with a growth mindset, with strong accountability, and ready to take ownership. You’ll have the opportunity to work across the stack, solve complex problems, and contribute to mission-critical applications. Email: stars [at] lara.health

Radar Labs | Software Engineers (SRE, data platform, backend, full-stack, mobile) | Remote (US), NYC | Full Time | https://radar.com - Radar is the geo-location dev tool

- Doing 1B+ API calls per day

- Our main languages are Rust and TypeScript, we also use mobile and offline pipeline languages (Python, Scala, and Terraform).

- We're based in NYC with our HQ in Union Square and remote friendly (US)

Interesting things we're working on:

- HorizonDB, our Geospatial database written in Rust

- Precise indoor location more accurate than iOS and Android leveraging Ultra-Wideband, other mobile sensors and ML.

- Extracting raw map data from satellite maps and the web leveraging ML and AI

- Anomaly detection to identify spoofed locations

- Mobile infrastructure that automatically configures itself optimizing battery-life and location accuracy for different use-cases over time

- Multi-Region AWS K8s deployment, 99.99%+ availability

- Frontend tools to visualize and debug location data at scale

Check out our jobs page here: https://radar.com/jobs#jobs If you have any questions, feel free to reply here or you can e-mail me at tim@radar.com