or apply directly on SpaceXAI's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 87 days SpaceXAI's roles stay open a median of 87 days
- Reposted
- No
- Salary listed
- No 32% of SpaceXAI's roles list one
- Ghost-job risk at SpaceXAI
- high 258 stale, 5 reposted of 258 open
- Hiring momentum
- 339 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-29
Measured from postings appearing on and disappearing from SpaceXAI's own greenhouse board since 2026-08-03. Full hiring picture for SpaceXAI.
About this role
As a Technical Account Manager at SpaceXSI, you will be responsible for the technical success of high-performance GPU/CPU cluster deployments for customers. Your role involves leading technical implementations, ensuring system optimization, and acting as the primary technical contact for compute infrastructure. You will collaborate with various internal teams to deliver reliable compute environments and handle technical escalations while driving customer outcomes in a fast-paced environment.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of SpaceXAI as an employer.
What you need
- Bachelor’s degree in computer science, Electrical Engineering, Computer Engineering, or a related technical discipline
- 7+ years of hands-on professional experience in large-scale compute, data center, or hyperscale infrastructure environments
- Experience leading technical implementations involving GPUs/CPUs and high-performance systems
Nice to have
- Master’s degree or higher in a STEM discipline
- Prior experience as a Technical Account Manager, Solutions Architect, or equivalent supporting enterprise or hyperscale compute deployments
- Deep knowledge of InfiniBand, RoCE, NVIDIA networking technologies (NCCL, NVLink, GPU Direct RDMA), and large GPU cluster architectures
- Experience with AI/ML training and inference infrastructure at scale
- Strong background in performance tuning, security/compliance implementation, and hybrid/cloud integration
Worth weighing
- High expectations and demanding atmosphere may not suit everyone
- Extended hours and weekend work required during critical periods
- Willingness to travel up to 25% to data center sites and customer locations
- Role requires operating with extreme ownership
Summarised from SpaceXAI's posting. Read the full original.
Listed by SpaceXAI on their greenhouse job board, last confirmed open on 2026-10-29. PitchMeAI is not the employer.
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