← All jobs in United States

Remote

Designated Services Engineer - NCP - Remote US

WEKA · U.S. Remote · United States

Remote Posted Open until 19 Oct 2026
  • Remote Designated Services Engineer - NCP - Remote US — job title

The job, in the employer's words

AI Hyperscalers build GPU platforms and sell them to their own customers. WEKA is the data layer under those platforms. As Senior Designated Services Engineer, you are the named engineer for an assigned AI Hyperscaler. You know the environment as your own. You work proactively, not from a ticket queue. You are the owner of the account relationship and the escalation path into WEKA.

This role blends the DSE and the TAM. About 80% of your time is hands-on engineering: architecture, deployment, performance, and issue resolution. About 20% is programmatic: the cadence, reviews, planning, and reporting that keep the customer’s needs covered over time. You own both.

Premium Services coverage is business hours in the customer’s geography, single or multi-geo. 

Engineering and Operational Ownership (about 80%)

  • Know the environment. Hold a current picture of the customer’s WEKA clusters, client fleet, networks, Kubernetes deployments, and tenant workloads. Track changes and configuration.
  • Monitor proactively. Use WEKA Home, autosupport, observability, and remote monitoring to find risk before it reaches production. Act on it.
  • Resolve technical problems. Own customer issues from open to root cause. Engage WEKA Engineering, GRE, and R&D when needed. Deliver clear, timely RCAs.
  • Bridge to Engineering. Carry customer needs to Engineering and Product when features, reliability, or documentation fall short. Help prioritize bugs, serviceability, and supportability.
  • Recommend architecture. Advise the customer on design, scale, and tenancy. Align the right senior WEKA resources, or execute the recommendation yourself.
  • Own the client layer. Drive verification of GPU node clients, BlueField-3 and SR-IOV networking, routed tenant networks, mount options, cgroups, and the WEKA Kubernetes operator and CSI driver. Validate configuration and scripts before deployment.
  • Optimize for the workload. Work with the customer and possibly its end customers to tune performance for training, inference, and checkpointing. Set baselines. Run and interpret performance tests.
  • Deliver continuity. Execute expansions and new deployments within the existing engagement. No separate implementation project spin-up. The next cluster starts with the engineer already in the environment.
  • Direct the Administrator. Where a WEKA Data Platform Administrator is assigned, you are the technical owner. You set direction and take escalations.
  • Build durable artifacts. Write runbooks, KB articles, postmortems, and automation. Leave the environment better documented every quarter.
  • Work the account team. Support Sales Engineering, partners, and account teams with credible technical depth in front of senior customer stakeholders.

Programmatic Ownership (about 20%)

  • Run the cadence. Lead regular operating reviews with the NCP. Bring health, risks, open cases, and decisions needed.
  • Deliver executive reviews. Prepare and present technical business reviews with outcomes, trends, and recommendations for customer’s leadership.
  • Plan releases and upgrades. Assess the environment, analyze bug and field-alert risk, and build upgrade plans with the customer and WEKA teams.
  • Track the program. Maintain a single view of open issues, feature requests, roadmap dependencies, and commitments. Keep owners and dates current.
  • Report on account health. Deliver periodic and custom reports. Tell leadership what changed, what is at risk, and what happens next.
  • Plan for growth. Work with the account team on capacity, expansion, and new tenant onboarding so the customer scales without surprises.
  • Coordinate across WEKA. Align Sales, Professional Services, Technical Services, Product, and R&D around the NCP’s priorities.
  • Educate. Tell customers about new features, field alerts, and best practices that matter to their environment.

Requirements

  • 10+ years in customer-facing, deep technical problem-solving roles.
  • Hands-on experience supporting Linux-based enterprise infrastructure at scale: storage, networking, virtualization, and cloud.
  • Experience in L3 support and direct customer interaction for enterprise infrastructure products.
  • Deep understanding of networking: InfiniBand, Ethernet, RDMA, DPDK, and UCX.
  • Strong fluency in Kubernetes and containerization, including persistent storage, CSI, and operators.
  • Experience with GPU, HPC, or AI/ML infrastructure. Comfort with performance benchmarking and diagnosing bottlenecks.
  • Proficiency with at least one major cloud: AWS, Azure, Oracle Cloud, or Google Cloud.
  • Proficiency in Python, Bash, or Ansible for monitoring, diagnostics, and repeatable tasks.
  • Experience with observability stacks such as Prometheus and Grafana.
  • Proven ability to resolve complex customer problems and escalations using the right internal and external resources.
  • Experience leading customer reviews, planning upgrades, and managing multiple workstreams at once.
  • Excellent written and verbal communication. You can brief an engineer and a CTO on the same day.
  • Strong technical writing.
  • Willingness to travel to customer sites as needed.

It’s Nice If You Have

  • Prior support or engineering experience at a cloud provider, GPU cloud, or HPC company.
  • Experience with WEKA or another parallel or distributed file system.
  • Experience with NVIDIA DGX-class systems, Slurm, or multi-tenant AI platforms.
  • Experience with infrastructure as code or configuration management (Ansible, Terraform).
  • Familiarity with Jira, Confluence, Slack, and collaboration between support, product, and engineering teams.

What Success Looks Like

  • The customer treats you as its engineer on the WEKA side. They call you first.
  • You find problems before the customer does.
  • Tenants onboard faster, and workloads hit their performance targets.
  • Client-layer issues are caught in verification, not in production.
  • Expansions and new deployments start from your knowledge of the environment, with no cold handoff.
  • Executive reviews change what the customer does next.
  • Runbooks, dashboards, and postmortems raise the operational maturity of the account.
  • Escalations reach Engineering complete, with evidence and a clear ask.

The WEKA Way

We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.

We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.

We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.

We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

Requirements mentioned

  • 10+ years in customer-facing, deep technical problem-solving roles.
  • Hands-on experience supporting Linux-based enterprise infrastructure at scale: storage, networking, virtualization, and cloud.
  • Experience in L3 support and direct customer interaction for enterprise infrastructure products.
  • Deep understanding of networking: InfiniBand, Ethernet, RDMA, DPDK, and UCX.
  • Strong fluency in Kubernetes and containerization, including persistent storage, CSI, and operators.
  • Experience with GPU, HPC, or AI/ML infrastructure. Comfort with performance benchmarking and diagnosing bottlenecks.
  • Proficiency with at least one major cloud: AWS, Azure, Oracle Cloud, or Google Cloud.
  • Proficiency in Python, Bash, or Ansible for monitoring, diagnostics, and repeatable tasks.
  • Experience with observability stacks such as Prometheus and Grafana.
  • Proven ability to resolve complex customer problems and escalations using the right internal and external resources.
  • Experience leading customer reviews, planning upgrades, and managing multiple workstreams at once.
  • Excellent written and verbal communication. You can brief an engineer and a CTO on the same day.
  • Strong technical writing.
  • Willingness to travel to customer sites as needed.
  • Prior support or engineering experience at a cloud provider, GPU cloud, or HPC company.
  • Experience with WEKA or another parallel or distributed file system.
  • Experience with NVIDIA DGX-class systems, Slurm, or multi-tenant AI platforms.
  • Experience with infrastructure as code or configuration management (Ansible, Terraform).
  • Familiarity with Jira, Confluence, Slack, and collaboration between support, product, and engineering teams.

No Mondays shows this listing as the employer published it. Check the details on the employer's site before you apply.

More remote jobs in United States

Natera · US Remote · today

Medical Science Liaison - Rare Disease

POSITION SUMMARY: The Medical Science Liaison (MSL), Rare Disease is a field-based scientific expert and a key scientific resource for clinicians, academic institutions, …

RemoteUSD 131k–163k / year
Vercel · San Francisco · today

GTM Engineer

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to …

RemoteUSD 180k–295k / year
Cortica - Neurodevelopmental · San Diego · today

Enrollment Specialist - Remote

Cortica is looking for an Enrollment Specialist to join our growing multi-disciplinary team! Under the general direction of the Cortica Head of Client Experience, the Enr…

RemoteUSD 23–25 / hour
Sayari · Remote - US · today

Field Intelligence Analyst - US

About Sayari: Sayari is the judgment infrastructure for trustworthy AI in economic security and commercial risk. The Sayari Commercial World Model resolves 11.7B+ primary…

Remote
Symmetry AI · Denver · today

Forward Deployed Solution Engineer

Symmetry is the payroll infrastructure for software & payroll platforms powering the paychecks of over 64 million workers each year. Our fully integrated suite of payroll…

Remote
Wiz, Inc. · Remote - USA · today

Head of Strategic Programs Operations

Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by…

RemoteUSD 234k–300k / year

23,426 live roles · See all →

Other roles at WEKA

WEKA · U.S. Remote · 6 days ago

Programming & Editorial Manager

Programming & Editorial Manager AI's ambitions keep outpacing the infrastructure and economics underneath it. WEKA exists to close that gap. The WEKA® NeuralMesh™ softwar…

Remote
WEKA · U.S. Remote · 15 days ago

Technical Project Manager

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure w…

Remote
WEKA · U.S. Remote · 15 days ago

Senior Solutions Architect

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure w…

Remote
WEKA · U.S. Remote · 17 days ago

Senior Product Marketing Manager- Inference

Senior Product Marketing Manager, AI Inference WEKA is the AI data and memory infrastructure company transforming how organizations build, run, and scale AI. NeuralMesh™ …

Remote
WEKA · U.S. Remote · 36 days ago

Sr. Technical Services Engineer - Remote US West

Sr. Technical Services Engineer WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for …

Remote
WEKA · U.S. Remote · 36 days ago

Channel Sales Manager OEM

WEKA is transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh™, our intelligent, adaptive mesh storage system. Unlike …

Remote

21 live roles · See all →