Nscale on cord

Nscale

Principal Solutions Architect

External position
Hiring internally for Nscale?
Cloud and Infrastructure · Machine Learning and AI
Nscale is the Hyperscaler engineered for AI.
Posted
a week ago
Checked
cord regularly checks that external positions are still open
9 hours ago

Skills & Experience

Job roles: Technical Architect
Experience level: Lead, Leadership
Core skills considered: Artificial Intelligence, AWS, Terraform, Ansible
Other skills considered: Python, Kubernetes, Scrum

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

We are hiring a Principal Solution Architect to design and deliver end-to-end GPU infrastructure solutions that power some of the world's most demanding AI workloads.

This is a highly technical, customer-facing role at the intersection of AI infrastructure, solution architecture, and engineering. You will translate complex customer requirements into scalable, high-performance infrastructure designs spanning GPU compute, networking, storage, data centre systems, and orchestration platforms.

You'll own solution designs end-to-end, from bare-metal GPU fabrics and high-performance networking through to the orchestration layers customers use to run their AI workloads. You'll also leverage modern AI tooling and automation to accelerate solution design, architecture validation, and deployment readiness.

Working closely with customers and Nscale's Engineering, Infrastructure, and Deployment teams, you'll act as a trusted technical advisor, ensuring our solutions deliver exceptional performance, reliability, and scalability.


What you'll be doing

GPU Infrastructure & Solution Architecture

  • Design end-to-end GPU infrastructure solutions tailored to customer requirements and AI workloads.
  • Architect GPU cluster configurations, including rack layouts, power and cooling considerations, and NVLink/NVSwitch domains.
  • Design high-performance network architectures, including leaf/spine, rail-optimised fabrics, InfiniBand, Ethernet, RoCE, and GPUDirect RDMA.
  • Define storage architectures and data pipelines supporting large-scale AI training and inference workloads.
  • Design infrastructure and orchestration layers, including bare-metal provisioning, Kubernetes, Slurm, and multi-tenant scheduling.
  • Architect control plane and management systems covering monitoring, alerting, and cluster lifecycle management.

Customer Engagement & Technical Advisory

  • Engage directly with customers to understand their technical requirements, workloads, and infrastructure challenges.
  • Translate customer needs into detailed technical architectures, specifications, and reference designs.
  • Act as a trusted technical advisor, guiding customers through infrastructure design decisions and technical trade-offs.
  • Collaborate with internal Engineering teams to ensure proposed solutions are technically feasible, scalable, and aligned with Nscale's infrastructure capabilities.
  • Support deployment planning and ensure solutions meet agreed performance, reliability, and operational requirements.

GPU Performance, Testing & Validation

  • Define and execute infrastructure acceptance and validation plans for GPU clusters.
  • Lead performance benchmarking using NCCL collectives and other GPU performance testing tools.
  • Validate network fabrics, GPU interconnects, and cluster configurations to ensure optimal performance.
  • Troubleshoot multi-node GPU performance issues, including degraded links, fabric misconfigurations, stragglers, and performance regressions.
  • Establish performance acceptance criteria and support GPU infrastructure sign-off before production deployment.

AI-Driven Design & Infrastructure Automation

  • Leverage AI tooling to automate and accelerate infrastructure design and engineering workflows.
  • Develop automated approaches for generating and iterating on architectures, bills of materials (BoMs), network topologies, and deployment artefacts.
  • Apply LLM-assisted engineering, code generation, and agentic workflows to improve design efficiency and accuracy.
  • Use Infrastructure-as-Code and scripting tools such as Terraform, Ansible, Python, or Go to streamline infrastructure design and deployment.
  • Identify opportunities to improve repeatability, consistency, and scalability across solution architecture processes.

Storage, Reliability & Operational Readiness

  • Design storage solutions optimised for AI workloads, including parallel and distributed file systems.
  • Consider data throughput, checkpointing, and storage performance requirements when designing GPU clusters.
  • Incorporate reliability, availability, and serviceability principles into infrastructure architectures.
  • Define monitoring, health checks, observability, and diagnostic requirements for production environments.
  • Partner with Infrastructure and Operations teams to ensure successful deployment, validation, and ongoing operational readiness.

Technology Research & Continuous Improvement

  • Stay current with emerging GPU technologies, networking architectures, storage platforms, and AI infrastructure innovations.
  • Research and evaluate new technologies to inform Nscale's future solution architectures.
  • Contribute to the development of reusable reference architectures, engineering standards, and technical best practices.
  • Share technical knowledge and expertise across Engineering, Product, and customer-facing teams.

Required Experience

  • 10+ years of relevant experience in solution architecture, infrastructure engineering, high-performance computing, or large-scale data centre environments.
  • Strong experience designing and delivering large-scale GPU infrastructure and AI/HPC solutions.
  • Deep technical understanding across the full GPU infrastructure stack, from bare-metal compute and networking through to orchestration and workload management.
  • Proven ability to translate complex customer requirements into detailed technical architectures and implementation plans.
  • Strong analytical and problem-solving skills, with the ability to troubleshoot complex infrastructure and performance challenges.
  • Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.

GPU Infrastructure & Networking

  • Strong understanding of GPU architectures, including NVLink/NVSwitch, PCIe, memory bandwidth, and GPUDirect RDMA.
  • Deep expertise in high-performance networking, including InfiniBand, RoCE, congestion control, leaf/spine architectures, and rail-optimised fabric design.
  • Experience with bare-metal infrastructure provisioning, including PXE/iPXE, firmware management, and BMC technologies.
  • Hands-on experience with Kubernetes and Slurm in production environments.
  • Understanding of how network topology and GPU interconnect design impact distributed AI workload performance.

GPU Performance & Validation

  • Hands-on experience with NCCL and collective communication benchmarking, including nccl-tests.
  • Familiarity with NVIDIA performance validation and diagnostic tooling, including Fabric Manager, DCGM, nvidia-smi, and nvbandwidthtest.
  • Experience with InfiniBand and Ethernet fabric diagnostics, including tools such as ibdiagnet.
  • Proven ability to validate and troubleshoot multi-node GPU clusters, identifying performance bottlenecks, degraded links, fabric issues, and configuration problems.

Automation & Software Engineering

  • Strong scripting and automation skills using Python, Go, or similar languages.
  • Experience with Infrastructure-as-Code tools such as Terraform and Ansible.
  • Demonstrated ability to automate engineering and design workflows using modern AI tooling.
  • Familiarity with LLM-assisted development, code generation, and agentic automation pipelines.

Storage, AI Workloads & Reliability

  • Experience with storage technologies supporting AI workloads, including Lustre, GPFS, WEKA, BeeGFS, or large-scale NFS.
  • Understanding of distributed training and inference infrastructure requirements.
  • Familiarity with AI/ML frameworks such as PyTorch, DeepSpeed, or Megatron-style training stacks.
  • Knowledge of
Principal Solutions Architect at Nscale
Position posted a week ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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