At a Glance
- Tasks: Design and optimise high-performance AI inference systems for massive workloads.
- Company: High-growth AI infrastructure startup with a world-class engineering team.
- Benefits: Competitive salary in the 75th-90th percentile plus equity opportunities.
- Other info: Fast-paced environment with significant career growth potential.
- Why this job: Join a pioneering team building Europe's leading AI inference capabilities.
- Qualifications: Experience in systems programming and high-performance computing is essential.
The predicted salary is between 80000 - 100000 £ per year.
Company Description
High-growth AI infrastructure startup
Job Description
You will join a world-class engineering team building a high-performance inference server designed for scale. This role focuses on optimizing batched inference workflows and low-level systems architecture to support massive AI workloads. You will play a pivotal role in establishing one of Europe’s premier inference teams while working on cutting-edge hardware-software integration.
Location: London, UK
Why this role is remarkable
- Opportunity to build one of the strongest AI inference teams in Europe from the ground up.
- Backed by top-tier VCs with a focus on high-performance computing and infrastructure.
- Highly competitive compensation package featuring 75th-90th percentile salary and significant equity upside.
What You Will Do
- Design and implement high-performance batched inference systems for large-scale AI models.
- Optimize low-level system performance and hardware utilization to reduce latency and increase throughput.
- Collaborate with cross-functional teams to architect scalable infrastructure for next-generation AI applications.
The Ideal Candidate
- Extensive experience in systems programming, low-level optimization, or high-performance computing (HPC).
- Proven track record of working on inference engines, compilers, or distributed systems at scale.
- Strong architectural intuition and the ability to thrive in a fast-paced, in-person engineering culture.
Staff Engineer, Batched AI Inference (Equity) employer: Jack & Jill
Join a high-growth AI infrastructure startup in London, where you will be part of a world-class engineering team dedicated to building cutting-edge batched inference systems. With a focus on employee growth and a collaborative work culture, this role offers highly competitive compensation, including equity opportunities, and the chance to shape one of Europe's premier AI inference teams from the ground up.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Engineer, Batched AI Inference (Equity)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to batched inference systems or high-performance computing. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your systems programming and low-level optimization knowledge. Practice coding challenges and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Staff Engineer, Batched AI Inference (Equity)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in systems programming and low-level optimisation. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about building a high-performance inference server and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills:In your application, be specific about your experience with inference engines, compilers, or distributed systems. We love seeing concrete examples of your work, so don’t hesitate to include details that demonstrate your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our world-class engineering team!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of systems programming and low-level optimisation. Be ready to discuss specific projects where you've worked on inference engines or distributed systems, as this will show your hands-on experience and technical prowess.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios related to optimising batched inference workflows. Think about how you would approach reducing latency or increasing throughput in a high-performance computing environment. This will demonstrate your architectural intuition and ability to think critically under pressure.
✨Collaborate Like a Pro
Since the role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve contributed to team success, especially in fast-paced environments.
✨Research the Company and Its Vision
Familiarise yourself with the startup's mission and recent developments in AI infrastructure. Understanding their goals and how you can contribute to building one of Europe’s premier inference teams will show your genuine interest and alignment with their vision.
