Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure. Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastruct…
Please Note: 1. If you are a first time user, please create your candidate login account before you apply for a job. (Click Sign In > Create Account) 2. If you already have a Candidate Account, please Sign-In before you …
Skills: Digital design flow, Primetime, Tempus, Innovus, Redhawk
Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into inte…
Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure. Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastruct…
Samsung SDS America is a leading provider of enterprise technology and digital transformation services, helping organizations modernize infrastructure, strengthen cybersecurity, and adopt cloud, AI, and data-driven techn…
Skills: CyberArk, Privileged Access Management, Active Directory, Linux, Windows Server
Staff Strategic Planner (Semiconductor Industry Experience Required)
San Jose, California, United States · On-site
$145k–$185k/yr
Senior
Company Description At Renesas, we are more than just a semiconductor company; we are the engine behind a "safer, smarter, and more sustainable" future. Headquartered locally in the heart of San Jose, our Silicon Valley …
Skills: Strategic planning, Semiconductor industry knowledge, Market analysis, Project management, Data-driven decision support
State Estimation Engineer - Data Collection Systems
San Jose, California, United States · On-site
$150k–$300k/yr
Mid level$1.9B raised
Figure is an AI Robotics company autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in th…
Skills: C++, State Estimation, Sensor Fusion, Kinematics, Python
Principal Software Developer – AI/ML Performance Validation & Systems Testing
San Jose, California, United States · Hybrid
Senior+$5.0B raised
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technolo…
Skills: Python, C++, ROCm, GPU Validation, System Testing
Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made acce…
Skills: Servo control, Firmware development, Matlab, C, C++
Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made acce…
We are seeking a Senior Director, AI Interface Architecture to solve the system-level interconnection challenges that connect XPUs (NPU/GPU/custom silicon) into working AI infrastructure. This role owns how compute eleme…
Skills: AI infrastructure, Interconnect architecture, NPU architecture, GPU architecture, CPU architecture
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related…
Job Description: SK Hynix Memory Solutions has a key design center in San Jose with focus on enterprise datacenter SSD development. The Reliability System Engineering team is seeking a talented and detail-oriented test e…
San Francisco, California, United States · On-site
$132k–$257k/yr
Senior+$3M raised
The Opportunity We're looking for a Senior Finance Manager to join the Creator Finance team and help shape the future of Adobe's business through strategic finance and transformational initiatives. This role is ideal for…
At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more than just a dream—we’re making it reality. For over two decades, we’ve been at the forefront of the global energy transiti…
Product Manager, AI - Portfolio AI runs in two directions across A10's business. It's embedded in what we ship — adaptive learning and dynamic attack pattern recognition in DDoS Mitigation and Detection, behavioral profi…
We seek a dedicated and passionate engineer eager to develop the next generation of fast, always-on cloud services for subscription management and purchasing. These services cover many products, plans, promotions, purcha…
About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our fir…
Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into inte…
Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into inte…
Skills: Data analytics, Sample planning, Project management, Supply chain management, Dashboard development
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$180k–$260k/yr
Full-time
Posted 24d ago
~40 hrs/week
Responsibilities
The Staff Slurm Cluster & HPC Engineer will own the architecture, multi-tenant scheduling policy, and reliability of Slurm clusters across bare-metal and VM-based GPU nodes. This role involves leading the integration of Slinky operators to enable shared GPU pools between Slurm and Kubernetes workloads.
Requirements
Candidates must have 8+ years of experience in HPC or systems engineering, with at least 4 years specifically operating production Slurm clusters at scale. Proficiency in GPU fabric fundamentals, Kubernetes operator patterns, and infrastructure-as-code tools like Terraform and Ansible is required.
Full job description
Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure.
Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Bitdeer handles complex processes involved in computing such as equipment procurement, transport logistics, data center design and construction, equipment management, and daily operations. Bitdeer also offers advanced cloud capabilities to customers with high demand for artificial intelligence.
Headquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including the United States, Norway, Bhutan, and Ethiopia.
We are seeking a Staff Slurm Cluster & HPC Scheduling Engineer to own Slurm as a first-class, productized scheduling layer across that fleet. This person is the single technical owner of Slurm cluster architecture, multi-tenant scheduling policy, and cluster reliability on both bare-metal and VM-based GPU nodes, and will lead our adoption of the Slinky operator stack (slurm-operator, and slurm-bridge where it fits) so that Slurm and Kubernetes workloads can share the same GPU pool. The role is deeply hands-on, customer-facing during onboarding and escalations, and sets the engineering standard the rest of the platform team builds on.
Key Responsibilities
Slurm cluster architecture and lifecycle — Design, deploy, and operate production Slurm clusters on bare metal and VMs: slurmctld/slurmdbd high availability, slurmrestd, configless slurmd, SACK/MUNGE and JWT authentication, and rolling version upgrades on live clusters without losing running jobs.
Topology-aware scheduling for GPU fabrics — Model the physical fabric in topology.conf — topology/tree for rail-optimized InfiniBand/RoCE designs and topology/block for NVLink domains such as GB200/GB300 NVL72 — and prove placement quality with NCCL bandwidth and multi-node training validation rather than assumption.
Multi-tenant scheduling policy — Own the account/association tree, partitions, QOS, fairshare, preemption, reservations, and per-tenant TRES limits. Enforce fail-closed defaults: an unresolved tenant identity or an empty entitlement set must deny, never degrade into unrestricted access.
Slinky on Kubernetes — Lead implementation of the Slinky slurm-operator, including its NodeSet, LoginSet, Accounting, RestAPI, and Token custom resources, cert-manager and Helm-based delivery, shared parallel-storage mounts, and login pods running sackd/sshd. Evaluate and pilot slurm-bridge for co-scheduling Kubernetes Pods, PodGroups, Jobs, JobSets, and LeaderWorkerSets through the Slurm scheduler, and document its constraints — notably exclusive whole-node allocation — before any customer exposure.
Elastic capacity between Slurm and Kubernetes — Use Slurm cloud and power-save mechanisms (ResumeProgram/SuspendProgram, SuspendTime, ResumeTimeout) together with fleet automation to shift GPU nodes between batch training queues and Kubernetes inference capacity as demand moves.
Container and job runtime — Operate Pyxis/Enroot and OCI/containerd job paths with correct gres.conf, cgroup v2 device constraints, and CUDAVISIBLEDEVICES behavior; support MPI/PMIx, module/Spack environments, and customer-supplied images.
Cluster health and reliability engineering — Build the passive and active health-check system expected of a top-tier GPU cloud: prolog/epilog checks, LBNL NHC or equivalent, DCGM diagnostics, and detection of XID/SXID errors, ECC faults, PCIe errors, GPUs falling off the bus, IB/RoCE link flaps, and NCCL stalls — with automatic drain and job requeue. Own burn-in and acceptance testing for every new rack before it carries paid work.
Automation and infrastructure as code — Deliver clusters through Terraform/Ansible, golden images, and bare-metal provisioning (PXE, Redfish, IPMI) so that a cluster build is reproducible, reviewable, and auditable rather than hand-tuned.
Observability, accounting, and billing integration — Instrument queue wait time, allocation efficiency, GPU utilization, and job failure taxonomy through a Slurm exporter into Prometheus/Grafana; configure AccountingStorageTRES and TRESBillingWeights, and reconcile sacct/sreport GPU-hours against the platform's metering and invoicing pipeline.
Technical leadership and customer engagement — Write runbooks and tenant-facing documentation, onboard and support enterprise customers, act as escalation point for cluster incidents, and mentor platform engineers on Slurm and HPC scheduling practice.
Qualifications
8+ years in HPC, systems, or cloud infrastructure engineering, including 4+ years operating production Slurm clusters at 100+ GPU-node scale with real users and service-level commitments.
Deep hands-on Slurm expertise: slurm.conf, gres.conf, topology.conf, cgroup.conf, partitions/QOS/fairshare/preemption/reservations, slurmdbd accounting, slurmrestd, MUNGE/SACK and JWT authentication, and version upgrades performed on live clusters.
Strong GPU and fabric fundamentals: NVIDIA drivers and Fabric Manager, DCGM, MIG, InfiniBand/RoCEv2 (subnet manager/UFM, rail-optimized topology), GPUDirect RDMA, and practical NCCL tuning and failure diagnosis.
Production Kubernetes experience and working knowledge of the operator/CRD pattern, plus hands-on exposure to at least one Slurm-on-Kubernetes stack — Slinky slurm-operator or slurm-bridge, CoreWeave SUNK, or Nebius Soperator — with an informed view of the tradeoffs between them.
Experience delivering both bare-metal and virtualized compute: bare-metal provisioning and firmware/BIOS lifecycle management, hypervisor or VM-based clusters (KVM/QEMU or a public-cloud equivalent), and Terraform/Ansible-driven automation.
Working knowledge of parallel and shared storage for AI workloads — Lustre, GPFS/Spectrum Scale, WEKA, VAST, or NFS — and of how storage behavior shapes job performance and failure modes.
Proficient in Python and Bash for cluster automation; Go experience is a plus for integrating with Bitdeer AI's platform control plane and with Slurm/Slinky REST client code.
Multi-tenant security discipline: derives tenant scope from a verified identity rather than client-supplied fields, designs authorization to fail closed, and treats isolation across accounts, namespaces, storage, and networks as a hard requirement.
Clear written and verbal communication in English, with the maturity to work directly with enterprise customers and to translate scheduling and reliability tradeoffs for product, sales, and executive stakeholders
Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.
A world-leading technology company for AI and Bitcoin mining infrastructure.
Industry
Software Development
Company size
201-500 employees
Founded
2021
Headquarters
Singapore
LinkedIn followers
56,179
Total funding
$2.1B
Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure.
Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Apart from designing industry-leading ASIC chips and manufacturing mining rigs, the Group handles complex processes involved in computing across the value chain. This includes equipment procurement, transport logistics, data center design and construction, equipment management, and network and facility operations. Bitdeer also offers advanced cloud capabilities to customers with a high demand for artificial intelligence.
Headquartered in Singapore, Bitdeer operates globally with a diversified 3 GW energy portfolio, and deploys Bitcoin mining and HPC data centers across multiple countries, including the United States, Bhutan, Norway, and Ethiopia.
Offices: Singapore, SG · California, San Jose, US · Washington, US · Tennessee, US · Texas, US
Sharing ServicesInstitutional ServicesMiner Maintenance and RepairMining SoftwareBitcoinBitcoin MiningAI CloudManufacturingAI Data CenterCloud Mining
How much do Data & Analytics jobs in San Jose, CA pay?
Based on 939 listings with disclosed salaries, most data & analytics jobs in San Jose, CA pay between $110k–$293k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in San Jose, CA right now?
There are currently 1,040 open data & analytics positions in San Jose, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in San Jose, CA?
Companies currently hiring include Adobe, Capital One, AMD, Google, WD, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in San Jose, CA?
Yes — 371 of the 1040 open data & analytics positions offer remote or hybrid work (69 remote, 302 hybrid).
How do I apply for Data & Analytics jobs in San Jose, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.