Full-Time

Research Engineer

Code Agents Infra

Updated on 9/4/2026

Mistral AI

Mistral AI

1,001-5,000 employees

Open-source LLM platform and API access

No salary listed

Palo Alto, CA, USA

Hybrid

Hybrid work arrangement in Palo Alto.

Category
DevOps & Infrastructure (1)
Required Skills
LLM
Kubernetes
MLOps
Rust
Python
Distributed Systems
PyTorch
Apache Spark
Machine Learning
Data Engineering
Docker
Go
C/C++
Linux/Unix
Reinforcement Learning

Get referred to Mistral AI

See people who can refer or advise you

Requirements
  • At least 4 years of experience in Systems Engineering, Distributed Systems, Cloud Infrastructure, or MLOps supporting large language model or reinforcement learning workloads.
  • Proven experience building high-throughput data processing and generation pipelines for large-scale datasets, using technologies such as Ray, Spark, or custom distributed queues.
  • Strong expertise writing custom Kubernetes operators and controllers, managing Linux cgroups and namespaces, and optimizing Docker image layers and distribution systems.
  • Advanced proficiency in Python, Go, C++, or Rust, with experience profiling and optimizing high-performance machine learning or backend systems codebases.
  • Hands-on experience with lightweight virtualization, container runtimes, or WebAssembly, including technologies such as Docker, gVisor, or Firecracker.
  • Deep familiarity with task queue systems, resource schedulers, and low-latency queuing architectures for high-volume, short-lived workloads.
Responsibilities
  • Design, deploy, and operate a high-throughput sandboxing platform that executes large language model-generated untrusted code across more than one million isolated environments concurrently for model evaluation and interactive reinforcement learning environments.
  • Architect and scale high-throughput pipelines for synthetic code generation, agent trajectories, rollouts, and self-play data collection to support post-training and reinforcement learning loops.
  • Optimize agent training codebases and distributed execution runtimes, including PyTorch, Ray, SLURM, and Kubernetes, to reduce multi-step rollout overhead, improve GPU utilization, and eliminate scaling bottlenecks.
  • Reduce sandbox cold-start times to sub-second levels using container warm pools, snapshot and restore technology such as CRIU and microVMs, and optimized image delivery layers across hybrid clusters.
  • Implement Kubernetes-native custom controllers, custom resource definitions, and queuing systems to route short-lived evaluation, synthetic data, and agent execution tasks across diverse hardware fleets.
  • Ensure strict multi-tenant network and process isolation for untrusted agent code using container and sandboxing runtimes such as gVisor and Firecracker, with default-deny network postures.
  • Maintain high availability, telemetry, and automated self-healing across millions of transient jobs, and participate in on-call rotations for critical agent training and execution pipelines.
Desired Qualifications
  • Work directly alongside AI researchers to rapidly turn frontier agent ideas into scalable, production-grade infrastructure.

Mistral AI is a French company that develops open-source large language models and the tooling around them. It provides a platform where developers and businesses can access, customize, and deploy AI models to build new AI-powered products and services. The company has released models such as Mistral 7B and Mixtral 8x7B, the latter using a Mixture of Experts (MoE) architecture to balance performance and efficiency. Users interact with the models via an API or similar platform, and Mistral AI earns revenue by charging for access to its proprietary models and related services. What sets Mistral AI apart is its open-source approach and community-driven development, combined with expert leadership from former Google DeepMind and Meta AI researchers who bring deep AI research experience. The company’s goal is to empower businesses to create and deploy AI-driven solutions by providing accessible, efficient, and customizable AI models and tools.

Company Size

1,001-5,000

Company Stage

Series D

Total Funding

$7.2B

Headquarters

Paris, France

Founded

2023

Get referred to Mistral AI

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Samsung-led September 2026 funding values Mistral at $23.7 billion, validating enterprise demand.
  • Tesco signed a three-year partnership in August 2026, expanding retail deployment and revenue potential.
  • HUMAIN's August 2026 sovereign-AI deal opens regulated Saudi demand and Arabic model opportunities.

What critics are saying

  • Anthropic, OpenAI, and Google outspend Mistral; model quality gaps can widen by 2027.
  • Samsung, BlackRock, and NVIDIA financing raises execution pressure after the €3 billion round.
  • Gulf and US compute dependence threatens sovereignty branding if Saudi or American partners dictate capacity.

What makes Mistral AI unique

  • Open-weight models plus regional endpoints keep customer data in Europe or the US.
  • Mistral Compute and self-hostable toolkit products suit regulated buyers demanding on-premise control.
  • Pixtral Large and Agentic Search target document-heavy enterprise workflows, not generic chatbots.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health Insurance

Company Equity

Parental Leave

401(k) Retirement Plan

Paid Vacation

Growth & Insights and Company News

Headcount

6 month growth

-5%

1 year growth

-8%

2 year growth

-7%
Blockchain News
Sep 8th, 2026
Samsung joins Mistral AI's $3.4B round at $23.7B valuation with BlackRock and NVIDIA

Samsung has acquired equity in French AI startup Mistral AI following a €3 billion funding round that values the company at over €21 billion. This represents nearly double Mistral's €11.7 billion valuation from a year ago and marks the largest equity raise for any private European tech company. The round brought in new investors including BlackRock Advent, the EU-backed Scaleup Europe Fund, and PSG Equity. Existing backers NVIDIA, ASML, and Salesforce also participated. Mistral AI plans to use the proceeds to advance frontier AI research, develop industrial applications, and expand infrastructure across the United States, Asia, and Europe.

Sifted
Sep 2nd, 2026
Exclusive: Samsung, Nvidia, ASML and Scaleup Fund back Mistral in €3bn fundraise

Mistral is set to announce a €3bn Series D round led by Samsung, with participation from Nvidia, ASML and the European Union’s Scaleup Fund

Need AI Tool
Aug 28th, 2026
Mistral AI launches Pixtral Large 123B multimodal vision model for enterprise Document processing.

Mistral AI launches Pixtral Large 123B multimodal vision model for enterprise Document processing. An open-weights vision-language powerhouse engineered for multi-page PDF reasoning, high-resolution chart analysis, and dense diagram extraction. Ethan Walker August 28, 2026 ~238 words Mistral AI has officially launched Pixtral Large 123B, an enterprise-grade open-weights multimodal vision-language model. Built on top of Mistral Large 2 with a custom 1-billion parameter vision encoder, Pixtral Large is purpose-built to parse, extract, and reason across complex multi-page financial documents, high-density scientific diagrams, and high-resolution images with native 128k context window support. Key takeaways & TL;DR. * 123B Parameter Frontier Architecture: Combines Mistral Large 2 reasoning capabilities with an advanced vision encoder natively handling arbitrary aspect ratios. * 128k Multi-Image Context Window: Ingests up to 30 high-resolution PDF pages or complex technical schematics simultaneously in a single prompt. * State-of-the-Art Document Understanding: Outperforms proprietary vision models on ChartQA, DocVQA, and complex OCR extraction benchmarks. * Available on vLLM & SGLang: Fully supported across open inference engines with FP8 quantization for efficient deployment on 4x RTX 4090 or 2x H100 GPUs. Technical Architecture & benchmark leadership. Pixtral Large avoids arbitrary image downscaling by processing visual inputs in their native resolution through a dynamic patch-tiling encoder. This allows the model to read tiny 6-point financial footnotes, complex architectural blueprints, and multi-column tables with flawless optical character recognition (OCR) accuracy. Engineering teams can deploy Pixtral Large on high-speed cloud GPUs via RunPod or query it via Mistral's official API platform. Impact on enterprise Document automation. Pixtral Large provides enterprises in healthcare, legal, and financial services with a self-hostable vision model that keeps proprietary documents entirely on-premise while delivering frontier-level OCR and multimodal reasoning. Found this useful? Share it: Prefer NeedAITool on Google SearchAI Overviews See its verified benchmarks & AI tool comparisons more frequently on Google. Ethan Walker I'm a technology writer passionate about AI tools, automation, productivity software, and emerging SaaS platforms. I spend my time testing digital tools and breaking down complex technologies into practical insights that help businesses, creators, and professionals work smarter. AI tools mentioned in this post. Text AI Code AI A European AI leader providing highly efficient open-weight models like Mistral 7B, Mixtral 8x7B, and their flagship Mistral Large. freemium Verified Code AI Data AI RunPod is a leading globally distributed GPU cloud and serverless computing platform engineered specifically for artificial intelligence workloads. It provides developers, AI researchers, and enterprises with on-demand access to top-tier NVIDIA GPUs (including H100, A100, L40S, and RTX 4090) at up to 80% lower cost than traditional legacy hyperscalers. On-Demand GPUs Verified

Decrypt
Aug 25th, 2026
Mistral and HUMAIN are building 'sovereign AI' in Saudi Arabia.

Mistral and HUMAIN are building 'sovereign AI' in Saudi Arabia. Mistral and HUMAIN announced plans to build sovereign AI infrastructure in Saudi Arabia and across the region - a tie-up valued in the hundreds of millions of euros that deepens Gulf money flowing into European AI. Aug 25, 2026 In brief. * Mistral and Saudi PIF-backed HUMAIN struck a strategic AI collaboration valued in the "hundreds of millions of euros." * The work spans in-region inference, open models, and frontier Arabic-language models, with first deliverables in cybersecurity and voice. * Mistral will explore running workloads on HUMAIN's Saudi data-center capacity instead of relying only on European and American infrastructure. Mistral and HUMAIN today announced plans to build "sovereign AI infrastructure" in Saudi Arabia and across the region. Per the joint announcement, the work "represents a collaboration in the hundreds of millions of euros." Mistral, the Paris-based open-weights lab, will team with HUMAIN, the AI company owned by Saudi Arabia's Public Investment Fund, to develop and localize advanced models and deploy AI solutions inside the Kingdom and the wider region. The companies said the tie-up is "designed to meet growing demand for sovereign AI" - meaning data is not controlled by third-party companies and models can be owned on open weights. Mistral has been assembling its own compute position through Mistral Compute, its end-to-end infrastructure arm. The HUMAIN arrangement extends that reach eastward, giving Mistral a path to run workloads on Saudi-based capacity rather than leaning solely on European and/or American infrastructure. The companies also plan a joint go-to-market push in Saudi Arabia toward regulated industries. The lab has been busy on the model side too. Weeks ago it shipped a unified open-source model with remote coding agents and a Work Mode in its Le Chat interface, the latest in a run that includes its frontier family built to challenge DeepSeek and an earlier high-performance model pitched against ChatGPT, Claude, and Gemini. HUMAIN arrives with a year-plus buildout already stacked. In November 2025 it expanded an NVIDIA partnership covering plans to deploy up to 600,000 of NVIDIA's latest AI systems over three years, including GB300 platforms, alongside an xAI data-center agreement anchored by a 500 MW-plus facility and an AWS deal to manage up to 150,000 GPUs in a dedicated Riyadh AI Zone. That same month, HUMAIN, AMD, and Cisco formed a joint venture targeting up to 1 GW of AI infrastructure by 2030. The Gulf's checkbook has been courting European AI all year. Earlier this summer Mistral expanded a partnership with Microsoft to add compute capacity in Europe, and in early August it introduced European Compute Units, a structure meant to pool long-term enterprise commitments so Europe's needed capacity actually gets built. Start every day with the top news stories right now, plus original features, a podcast, videos and more.

ZenTech Academy
Aug 25th, 2026
Mistral and HUMAIN Team on Sovereign AI for Saudi Arabia and the Region - Unite.AI.

Mistral and HUMAIN Team on Sovereign AI for Saudi Arabia and the Region - Unite.AI. Mistral and HUMAIN on August 24, 2026 announced a strategic collaboration spanning AI infrastructure, advanced model development, and the deployment of AI solutions in Saudi Arabia and across the region, a partnership the companies value in the hundreds of millions of Euros. The deal pairs France's leading open-weights model developer with the Public Investment Fund's full-stack AI company, and it is as much a compute story as a model story. As part of the collaboration, Mistral will explore using HUMAIN's data center infrastructure to support growing local compute needs, according to the companies' joint announcement. Together the companies will pursue the development and localization of advanced AI models, with initial areas of focus including cybersecurity and voice, and they plan to develop frontier models that perform strongly in Arabic to support the broader region. HUMAIN and Mistral also plan a joint go-to-market strategy in Saudi Arabia aimed at bringing advanced AI solutions to regulated industries. What the sovereign AI deal covers. The collaboration is built around sovereign AI, which the announcement defines as AI that keeps data, intelligence, compute, and operations under the customer's control. In practice, that means data can remain within customer-defined boundaries, models can be adapted and owned on open weights, training and inference can run on infrastructure and in jurisdictions the customer chooses, and systems can be deployed and governed without ceding control of the learning loop to an external platform. That framing is aimed squarely at buyers where control is a requirement rather than a preference. The announcement names financial services, manufacturing, telecommunications, cybersecurity, and the public sector as the industries where security, compliance, resilience, and operational autonomy are non-negotiable. The compute side of the partnership. For Mistral, the infrastructure element is the concrete near-term piece. The company has been assembling its own compute position through Mistral Compute, its end-to-end infrastructure offering. The HUMAIN arrangement extends that footprint eastward, giving Mistral a path to run workloads on Saudi-based capacity rather than relying solely on European and American infrastructure. For HUMAIN, the Mistral tie adds a frontier model developer to a compute buildout that has been accumulating anchor tenants. Saudi Arabia's sovereign AI data-center push has been drawing outside capital alongside these partnerships, including a recent $441 million senior secured credit facility raised by Global AI, one of HUMAIN's infrastructure partners. HUMAIN's buildout so far. The Mistral collaboration lands on top of an infrastructure program HUMAIN has been stacking for over a year. In November 2025 the company announced an expanded NVIDIA partnership covering plans to deploy up to 600,000 of NVIDIA's latest AI infrastructure technologies over three years, including GB300 platforms, alongside an xAI agreement to jointly develop data centers anchored by a flagship 500 MW-plus facility and an AWS deal to deploy and manage up to 150,000 GPUs in a dedicated Riyadh AI Zone, per the company's announcement. That same month, HUMAIN, AMD, and Cisco formed a joint venture targeting up to 1 GW of AI infrastructure by 2030, beginning with a 100 MW deployment in the Kingdom powered by AMD Instinct MI450 Series GPUs and Cisco critical infrastructure, according to Cisco's release. HUMAIN launched in May 2025 with an NVIDIA collaboration whose first cluster comprises approximately 18,000 NVIDIA GB300 GPUs. What each side brings. HUMAIN, a PIF company, operates across four areas: next-generation data centers, hyper-performance infrastructure and cloud platforms, advanced AI models including Arabic large language models developed in the Arab world, and AI solutions for public and private sector organizations. Mistral, headquartered in Paris and independent, develops open-source models and end-to-end infrastructure through Mistral Compute, with a presence in the United States, United Kingdom, and Singapore. The companies framed the partnership as reflecting a broader shift in how AI is adopted globally, through arrangements that combine local infrastructure, market knowledge, and sovereign AI capabilities. The announcement carries a forward-looking statement noting that actual results may differ due to subsequent commercial agreements, and HUMAIN undertook no obligation to update the statements. Initial model work in cybersecurity and voice is the first observable deliverable.