Lead Software Engineer, Mistral AI

Runtime

Salary not provided

+ Equity

Python

C++

CUDA

PyTorch

Senior and Expert level

London

Paris

Offers Visa sponsorship

3+ days a week in office

Generative AI model developers

Open for applications

Generative AI model developers

101-200 employees

B2BArtificial IntelligenceDeep TechSaaS

Open for applications

Salary not provided

+ Equity

Python

C++

CUDA

PyTorch

Senior and Expert level

London

Paris

Offers Visa sponsorship

3+ days a week in office

101-200 employees

B2BArtificial IntelligenceDeep TechSaaS

Company mission

To make frontier AI ubiquitous, and to provide tailor-made AI to all the builders.

Job

Company

Role

Who you are

Extensive experience in C++ and Python, with a strong focus on backend development and performance optimization
Deep understanding of modern ML architectures and experience with performance optimization for inference
Proven track record with large-scale distributed systems, particularly performance-critical ones
Familiarity with PyTorch, TensorRT, CUDA, NCCL
Strong grasp of infrastructure, continuous integration, and continuous development principles
Ability to lead and mentor team members, driving projects from concept to implementation
Results-oriented mindset with a bias towards flexibility and impact
Passion for staying ahead of emerging technologies and applying them to Al-driven solutions
Humble attitude, eagerness to help colleagues, and a desire to see the team succeed

What the job involves

As the Technical Lead for the Inference team, you will drive the architecture and optimization of our inference backbone, ensuring high performance, scalability, and efficiency in a dynamic environment. You will lead the acquisition and automation of benchmarks, collaborate with cross-functional teams, and innovate solutions to enhance our AI-powered applications
Architect and optimize the inference for high-volume, low-latency, and high-availability environments
Lead the acquisition and automation of benchmarks at both micro and macro scales
Introduce new techniques and tools to improve performance, latency, throughput, and efficiency in our model inference stack
Build tools to identify bottlenecks and sources of instability, and design solutions to address them
Collaborate with machine learning researchers, engineers, and product managers to bring cutting-edge technologies into production
Optimize code and infrastructure to maximize hardware utilization and efficiency
Mentor and guide team members, fostering a culture of collaboration, innovation, and continuous learning

Our take

Founded by Facebook AI researchers, Mistral AI focuses on developing open-source generative AI models to "make AI useful." It emerged in early 2023, quickly achieving a $260 million valuation.

With the upcoming release of Mixtral in 2024, featuring up to 176 billion parameters, Mistral is under pressure to deliver. Mixtral's open-source nature has sparked concerns about potential misuse, yet Mistral remains a formidable competitor in the AI landscape, challenging models from Google and Meta.

Recently, Mistral secured a massive $640 million funding round, raising its valuation to $6 billion. This Series A funding, led by General Catalyst and including investors like Lightspeed Venture Partners and Andreessen Horowitz, underscores significant interest in alternatives to ChatGPT.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 5 rounds)

Sep 2025

$2.0bn

SERIES C

Jun 2024

$544m

SERIES B

Total funding: $3.1bn

Company benefits

Competitive bonus structure
Equity
Opportunities for professional growth and development

Company HQ

Villette, Paris, France

Leadership

Timothee Lacroix

(CTO)

Previously PhD and Software Engineer Intern at Facebook and Visiting Undergraduate at CAlab UCSD

Guillaume Lample

(Chief Scientist)

Research Student and Scientist at Facebook AI and Research Intern at Jane Street Capital

Arthur Mensch

(CEO)

Previously Staff Research Scientist at DeepMind, Post-doc researcher at École normale supérieure, Visiting Researcher at NYU Courant Institute of Mathematical Sciences and PhD Student at Inria

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