Mistral AI
As of 30 October 2026, Mistral AI has 225 open roles (63 new in 30 days), its software engineering team is hiring most, and its postings name Python, PyTorch and Linux as the tools the team works in.
As of 30 October 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- Paris, Île-de-France, United States
- Employees
- 201-500 employees (wikidata)
- Sells to
- financial services, public sector & government, manufacturing
- Certifications on site
- Site languages
- EN
- Career system
- Ashby
Mistral AI in one screen
Read from mistral.ai: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
Mistral AI is an AI technology company that helps organizations build tailored AI systems, offering custom model training, inference, and agent development. Its platform includes Studio, Forge, Vibe, and Compute, with models such as Mistral OCR 4, Mistral Medium 3.5, Mistral Small 4, and Voxtral TTS. It serves financial services, public sector, manufacturing, and energy & utilities, including enterprise deployments.
Named on the site: financial services, public sector & government, manufacturing, energy & utilities, enterprises, public sector and government, energy and utilities.
Seen in buyers' own postings: technology & software, business & finance services, manufacturing & industry; mostly 51-200 employees and 1001-5000 employees; United States (126) and France (39).
Nearest companies by what they do, sell and whom they serve, 51+ employees. 592 scored.
Companies whose own job postings name Mistral AI as the system their team works in. Ideal-customer examples, not a reference list from the vendor.
What Mistral AI says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
• Optimizing a variety of builds: container images, large libraries compilation times, python environments...• Training Codebase & Systems Optimization: Optimize agent training codebases and distributed execution runtimes (PyTorch, Ray, SLURM/Kubernetes) to minimize multi-step rollout overhead, improve GPU utilization, and eliminate scaling bottleAs a Site Reliability Engineer in the Fleet team, you’ll work at the intersection of frontier models, products, and compute, ensuring our large-scale Linux environments, cloud systems, and AI workloads run reliably.• Handle GPU fleets at scale: H100 and GB200-class nodes, InfiniBand and RoCE fabrics, and the failure modes they bring.• Write robust, well-tested systems code in Rust and Python; review code, CI/CD, and observability across the platform.• Lift the team — mentor and pair with L1–L3 engineers on live operations; turn your knowledge into SOPs, checklists and training material; propose and build small automation (Python/Bash) to shorten MTTR.- Handle GPU fleets at scale: H100 and GB200-class nodes, InfiniBand and RoCE fabrics, and the failure modes they bring., sandbox and data platform teams to make these services reliable, scalable and fast, on infrastructure measured in hundreds of terabytes of NVMe storage and thousands of CPU cores to support both data generation and critical training runs.• Platform Engineering: Contribute to the development of our internal training platform, ensuring seamless model training and fine-tuning capabilities across Kubernetes and SLURM based environments.• Collaborate with the Inference Foundation team to integrate validated techniques into the vLLM-based serving stack.• Develop the sandbox runtime leveraging Firecracker, enabling fast startup, snapshotting, and efficient scheduling without blocking expensive hardware.- Handle GPU fleets at scale: H100 and GB200-class nodes, InfiniBand and RoCE fabrics, and the failure modes they bring.Vendors whose code loads on mistral.ai or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
225 open roles, 130 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring software engineering in United States →
| open · new 30 d | |
|---|---|
| Software engineering | 52 · 10 |
| Data & AI | 48 · 13 |
| Human resources | 22 · 6 |
| Sales | 18 · 4 |
| Product, program & project management | 14 · 2 |
| Legal, compliance & risk | 10 · 3 |
| IT operations & business systems | 9 · 1 |
| Engineering (non-software) | 5 · 4 |
| Marketing & communications | 5 · 1 |
| Customer service & success | 4 · 0 |
| Finance & accounting | 4 · 0 |
| Business development & strategy | 3 · 2 |
| General management & consulting | 2 · 1 |
| Procurement and purchasing | 2 · 0 |
| Quality, safety & environment | 2 · 1 |
| Facilities cleaning and security | 1 · 1 |
| Logistics warehouse and transport | 1 · 1 |
| Research and science | 1 · 1 |
| Travel, leisure & events | 1 · 1 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add Mistral AI to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Start free, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like Mistral AI
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 592 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Mistral AI (Paris, United States, 201-500 employees) has 225 open roles, 63 new in 30 days, and names 14 tools in its postings. (Breaknorm, 30 October 2026, https://breaknorm.co/company/mistral.ai)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from mistral.ai: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Ashby career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
Mistral AI: questions
Does Mistral AI use Python?
Yes, by the company's own words: 99 postings name it, first seen 2026-06-24, in the data & ai team.
Is Mistral AI hiring?
225 open roles as of 30 October 2026, 63 opened in the last 30 days and 8 closed. The largest team hiring is software engineering.
Where does this profile come from?
From mistral.ai itself: we crawled it on 2026-08-02, built the profile on 2026-08-15, and read its career site (Ashby) hourly since. Headcount is from LinkedIn.
Who should I write to at Mistral AI?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 3 public role addresses from the site are there too.
Get this company your way
The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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