Job Specifications
About ScitiX
We build the city where AI lives. ScitiX is building the digital foundation for AI to run reliably over time and scale into repeatable delivery. As models keep improving, real-world impact is still held back by fragmented infrastructure—training, fine-tuning, and inference spread across disconnected tools and cloud services, with compute, data, orchestration, billing, access control, and compliance out of sync.
ScitiX brings these pieces together with a cloud-native platform for unified management and intelligent scheduling of heterogeneous compute. We pool general-purpose compute, AI accelerators, and HPC across public, private, and hybrid environments to deliver efficient cross-platform scheduling and stable capacity. Centered on “Your data in. Your AI service out.”, we provide an end-to-end path that connects the full AI lifecycle within one system.
With ScitiX, teams move from experiment to production faster, run services more steadily, use resources more efficiently, and manage costs with clearer boundaries — AI doesn’t just run, it keeps running at scale, consistently.
If you are a builder who is tired of corporate bureaucracy and wants to own the technical destiny of a high-growth infrastructure company, this is your role.
What You Will Build (0-to-1)
As the Founding Solution Architect, your mandate is to turn our raw compute power into a winning product for US enterprises.
The Technical Sales Motion: You will define how we demo, how we benchmark, and how we prove value. You will build the "Scitix Standard" for technical engagement.
The "Whale" Architect: You will personally lead the architecture and deployment for our first 10 strategic "Whale" customers (Series B/C Scale-ups), ensuring their training and inference clusters run flawlessly.
The Feedback Loop: You are the bridge between the US market and our Engineering HQ. You will translate customer pain points into product features for our PaaS and Orchestration layers.
The Future Team: As we scale to $25M+ revenue, you will help hire, train, and lead the future Solutions Engineering team.
Key Responsibilities
1. Strategic Technical Leadership
Partner with the US GTM Lead to identify target verticals (GenAI, BioTech, Trading) and tailor our technical value proposition for each.
Develop reference architectures for high-performance workloads (e.g., "Llama-3 Training on H200s," "AlphaFold on Scitix").
Create our initial technical collateral: white papers, benchmark reports, and deployment guides.
2. High-Stakes Execution
Own the technical win. Lead proof-of-concepts (POCs) that prove our H200/B200 clusters outperform AWS/CoreWeave on price-performance.
Hands-on debugging. You are the "Level 3" support for our Pioneer customers. If a cluster performance degrades, you dive into the logs to fix it.
Guide customers through the migration from Hyperscalers to Scitix, ensuring a "White Glove" onboarding experience.
3. Ecosystem & Partners
Work with our channel partners (like WWT, Insight) to enable their technical teams to sell Scitix.
Build integrations with MLOps partners (e.g., Weights & Biases, Run.ai) to make our platform sticky.
What We Are Looking For (The Builder Profile)
You are a rare hybrid: Deeply technical, commercially savvy, and operationally gritty.
Must-Haves:
5+ years in HPC / AI Infrastructure: You have hands-on experience with GPU clouds, data centers, or supercomputing clusters.
The "0-to-1" Mindset: You have worked at an early-stage startup or built a new practice within a larger org. You thrive in ambiguity and don't need a handbook—you write the handbook.
Technical Fluency:
Hardware: Deep knowledge of NVIDIA H100/H200/B200 architecture and InfiniBand/ROCE networking.
Orchestration: Expert in Kubernetes (K8s) and Slurm. You know how to schedule a 1,000-GPU job.
AI Stack: Familiarity with PyTorch, Ray, Megatron-LM, and inference engines like vLLM/TRT-LLM.
Customer Obsession: You can explain complex network topology to a CTO and business value to a CFO in the same meeting.
Preferred Qualifications:
Experience at a "Neocloud" (CoreWeave, Lambda, RunPod, Nebius) or Specialized AI Hardware firm (Cerebras, Graphcore).
Background in High-Frequency Trading (HFT) infrastructure or research computing.
Experience building or managing a technical team.
Why Join Scitix Now?
The Asset: We have the hardware everyone else is looking for (B200s). You will be selling water in a desert.
The Impact: You are Employee #2 in the US. Your fingerprints will be on every major deal and every process.
The Upside: Competitive equity package and the opportunity to grow into a Head of Solutions Engineering, US role as the team expands.
About the Company
ScitiX – Delivering Intelligent Computing for the Future of AI
We build the city where AI lives. ScitiX is building the digital foundation for AI to run reliably over time and scale into repeatable delivery. As models keep improving, real-world impact is still held back by fragmented infrastructure—training, fine-tuning, and inference spread across disconnected tools and cloud services, with compute, data, orchestration, billing, access control, and compliance out of sync.
ScitiX brings these pieces together with a cloud-n...
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