Senior HPC Deployment Engineer Job at Hewlett Packard Enterprise (Melbourne)

Senior Research Engineer

The HPE HPC & AI EMEA Research Lab (ERL) is characterized by a unique blend of i...

Location

Germany , Munich, Berlin

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Development experience in compiled languages such as C, C++ or Fortran and experience with interpreted environments such as Python
At least a B.Sc. equivalent in a Science, Technology, Engineering or Mathematical discipline
Parallel programming experience, with programming models such as OpenMP, MPI, CUDA, OpenACC, HIP, PGAS languages, etc.
An understanding of AI/ML frameworks, experience with frameworks such as TensorFlow or PyTorch is highly desirable
An interest in system- and data center monitoring and operational data analysis
Professional language skills in English and German

Job Responsibility

Perform world-class research while also shaping products of the future
Work with the most esteemed research partners across Europe
Enable high performance research software on pre-Exascale and Exascale supercomputers
Provide new environments/abstractions to support application developers to build, deploy, and run applications taking advantage of leading-edge hardware at scale
Make and operate HPC/AI systems and datacenters in a sustainable way
Manage modern data-intensive workloads in high performance environments

What we offer

Competitive salary and extensive benefits package (pension scheme, insurances, bike and car leasing, and other fringe benefits)
Work-life balance (flexible working time and hybrid workplace model, 30 vacation days, four HPE Wellness-Fridays, up to six months paid parental leave)
Support for education, training, and career development
Diverse and dynamic work environment

Senior Linux System Administrator - Support Engineer

Senior Linux System Administrator/System Support Engineer with expertise support...

Location

Australia , Canberra

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent work experience
At least 5 years of hands-on experience managing Linux systems in production environments, including HPC systems
Expertise in Linux/Unix operating systems, parallel file systems (Lustre, GPFS), and networking technologies
Proficiency in scripting/programming languages (Bash, Python, Perl, C++)
Experience with automation/configuration management tools (Ansible, Puppet, Chef, Terraform)
Strong understanding of networking concepts (TCP/IP, DNS, DHCP, firewalls, VPNs)
Familiarity with monitoring/logging tools (Nagios, Grafana, ELK Stack)
Experience with containerization technologies (Docker, Kubernetes)
Excellent problem-solving, analytical, and communication skills
Demonstrated ability to work independently in multi-technology environments and collaborate across teams

Job Responsibility

Deploy, configure, maintain, and troubleshoot Linux servers (Red Hat, CentOS, Ubuntu, or others) across physical, virtual, and cloud environments
Support, maintain, and optimize HPC systems, including installation, servicing, and advanced technical troubleshooting of hardware/software and parallel file systems
Monitor system performance, availability, and security using industry-standard tools and practices
Plan and execute upgrades, patches, enhancements, and migrations to ensure systems are current, secure, and optimized
Automate system administration tasks using scripting languages and configuration management tools
Implement and maintain backup/recovery strategies, disaster recovery plans, and system documentation
Collaborate with development, network, and security teams to support application deployments and troubleshoot issues
Provide technical consulting, mentoring, and guidance to junior team members
Ensure compliance with strict security protocols in sensitive environments
Participate in on-call rotation and respond to system incidents and outages

What we offer

Competitive salary and performance-based bonuses
Comprehensive health, dental, and vision insurance
Retirement plan options
Paid time off and holidays
Professional development opportunities
Flexible work arrangements

Fulltime

HPC Principal Federal Technical Consultant

Principal Consultant to join our High-Performance Computing (HPC) team. In this ...

Location

United States

Salary:

115500.00 - 266000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

8+ years of professional experience, with at least 3+ in HPC architecture, systems engineering, or large-scale infrastructure design
Advanced degree in Computer Science, Engineering, Physics, or related technical field (or equivalent experience)
Proven ability to design and deliver complex, multi-vendor HPC solutions at scale
Demonstrated ability to independently complete solution implementations and application design deliverables
Must be United States Citizen due to the responsibilities and requirements of the role as this will be supporting a Federal site
Top Secret Clearance, TS/SCI with Full Scope Polygraph (FSP)
Must be willing to travel as the business dictates
Expertise in one or more of the following: parallel computing, MPI/OpenMP, GPU acceleration, workload schedulers (Slurm, Altair PBS Pro, Torque/MOAB, etc.), or large-scale data storage systems (Lustre, GPFS, Ceph)
Experience with Network boot technologies (PXE or gPXE/Etherboot etc)
Storage specific knowledge: LVM, RAID, iSCSI, Disk partitioning (GPT, MBR)

Job Responsibility

Lead the technical implementation design and delivery of world class scale HPC solutions, from requirements gathering to implementation
Provide architectural guidance on compute, storage, networking, and workload management tailored to customer use cases
Configure, deploy, and maintain Linux-based HPC clusters, associated storage, and network infrastructure
Work in close collaboration with customers on finalizing and deploying HPC software applications, hosting platforms, and management systems that enable customer research and production workloads
Provide technical support and troubleshooting for HPC implementation in secure locations
Work on both operational support and strategic HPC projects
actively participate in customer user group environments
Evaluate and implement new tools, middleware, and methodologies to improve operations and service delivery
Ensure compliance with enterprise IT security and technology controls
Act as principal consultant in customer engagements, often leading cross-functional project teams (including customer staff)

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing

Fulltime

Senior Systems Engineer HPC

Location

India , Gurgaon

Salary:

Not provided

Rackspace

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field (equivalent experience may substitute for degree)
Minimum of 10 years of systems experience, including at least 5 years working specifically with HPC
Strong knowledge of Linux operating systems (e.g., Rocky Linux, Ubuntu) with a fundamental understanding of Linux internals, system administration, and performance tuning
Experience building and managing RPM and DEB packages
Experience with cluster management tools such as Bright Cluster Manager, OpenHPC stack, or Warewulf
Proficiency with job schedulers and resource managers such as Slurm and LSF
Strong understanding of Linux networking (e.g., TCP/IP, DNS, routing) and HPC interconnects (e.g., InfiniBand, Ethernet) including performance tuning
Knowledge of parallel file systems such as Lustre, Ceph, or GPFS
Working knowledge of Linux authentication and directory services such as LDAP and Active Directory
Strong experience with DevOps and configuration management tools, including Ansible, Terraform, Jenkins, and Git

Job Responsibility

System Administration & Maintenance: Install, configure, and maintain HPC clusters (hardware, software, operating systems), perform regular updates/patching, manage user accounts and permissions, and troubleshoot/resolve hardware or software issues
Performance & Optimization: Monitor and analyse system and application performance, identify bottlenecks, implement tuning solutions, and profile workloads to improve efficiency
Cluster & Resource Management: Manage and optimize job scheduling, resource allocation, and cluster operations using tools such as Slurm, LSF, Bright Cluster Manager / Base Command Manager, OpenHPC, and Warewulf
Networking & Interconnects: Configure, manage, and tune Linux networking (TCP/IP, DNS, routing) and high-speed HPC interconnects (InfiniBand, Ethernet) to ensure low-latency, high-bandwidth communication
Storage & Data Management: Implement and maintain large-scale storage and parallel file systems (Lustre, Ceph, GPFS), ensure data integrity, manage backups, and support disaster recovery
Security & Authentication: Implement security controls, ensure compliance with policies, and manage authentication and directory services such as LDAP and Active Directory
DevOps & Automation: Use configuration management and DevOps practices (Ansible, Terraform, Jenkins, Git) to automate deployments, application packaging (RPM/DEB), and system configurations
User Support & Collaboration: Provide technical support, documentation, and training to researchers
collaborate with scientists, HPC architects, and engineers to align infrastructure with research needs
Planning & Innovation: Contribute to the design and planning of HPC infrastructure upgrades, evaluate and recommend hardware/software solutions, and explore cloud-based HPC solutions where applicable

Fulltime

HPC Principal Federal Technical Consultant

In this role, you will serve as a trusted technical advisor for customers, guidi...

Location

United States

Salary:

115500.00 - 266000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

8+ years of professional experience, with at least 3+ in HPC architecture, systems engineering, or large-scale infrastructure design
advanced degree in Computer Science, Engineering, Physics, or related technical field (or equivalent experience)
proven ability to design and deliver complex, multi-vendor HPC solutions at scale
demonstrated ability to independently complete solution implementations and application design deliverables
must be United States Citizen due to the responsibilities and requirements of the role as this will be supporting a Federal site
Top Secret Clearance, TS/SCI with Full Scope Polygraph (FSP)
must be willing to travel as the business dictates
expertise in one or more of the following: parallel computing, MPI/OpenMP, GPU acceleration, workload schedulers (Slurm, Altair PBS Pro, Torque/MOAB, etc.), or large-scale data storage systems (Lustre, GPFS, Ceph)
experience with Network boot technologies (PXE or gPXE/Etherboot etc)
storage specific knowledge: LVM, RAID, iSCSI, Disk partitioning (GPT, MBR)

Job Responsibility

Lead the technical implementation design and delivery of world-class scale HPC solutions, from requirements gathering to implementation
provide architectural guidance on compute, storage, networking, and workload management tailored to customer use cases
configure, deploy, and maintain Linux-based HPC clusters, associated storage, and network infrastructure
work in close collaboration with customers on finalizing and deploying HPC software applications, hosting platforms, and management systems that enable customer research and production workloads
provide technical support and troubleshooting for HPC implementation in secure locations
work on both operational support and strategic HPC projects
actively participate in customer user group environments
evaluate and implement new tools, middleware, and methodologies to improve operations and service delivery
ensure compliance with enterprise IT security and technology controls
act as principal consultant in customer engagements, often leading cross-functional project teams

What we offer

comprehensive suite of benefits that supports physical, financial, and emotional wellbeing
programs catered to helping employees reach any career goals
inclusive work environment.

Fulltime

Senior Network Engineer, Deployment

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’r...

Location

United States , San Francisco, Sunnyvale

Salary:

162000.00 - 196000.00 USD / Year

Crusoe

Expiration Date

Until further notice

Requirements

10+ years of related experience building and operating at scale in a production environment
In-depth knowledge of network protocols including TCP/IP, QoS, BGP, OSPF/IS-IS, EVPN, VXLAN, QoSand MPLS-related technologies like RSVP-TE, LDP, etc.
Good understanding of network monitoring protocols and tools, such as SNMP, IPFIX, Sflow/netflow, and Telemetry
Familiar with data center network architecture, such as Fat Tree architecture, CLOS, BGP-TE, and peering for edge
Hands-on experience with major network devices like Mellanox, Cisco, Arista, Juniper, and other mainstream vendors
Familiar with mainstream commercial switch/router chipsets, such as Broadcom, Barefoot, etc.
In-depth knowledge of public cloud architecture connectivity options to AWS, GCP, Azure, Ali Cloud, OCI, etc.
Good understanding of IPv6 and IPv4-IPv6 coexistence technologies
Self-motivated, with good communication and writing skills
Team player and participate in Crusoe Energy Cloud network global on-call rotation

Job Responsibility

Deploy, build, and optimize Crusoe Energy Cloud's global network, including edge, backbone, data center, and public cloud connectivity
Work with cross-functional teams, including but not limited to Software Infrastructure and Product, to drive the innovation and evolution of the Crusoe Energy Cloud network
Work with external vendors and ISPs to test and verify device and carrier selection
Will be part of a 24/7 Oncall Support for the Crusoe Network

What we offer

Restricted Stock Units in a fast growing, well-funded technology company
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability
Teladoc
401(k) with a 100% match up to 4% of salary
Generous paid time off and holiday schedule
Cell phone reimbursement
Tuition reimbursement

Fulltime

Senior MLOps Engineer

If you’re passionate about scalability, automated deployment, and well-optimized...

Location

Romania , Bucharest

Salary:

Not provided

IT Genetics Romania

Expiration Date

Until further notice

Requirements

University degree, preferably in engineering (software, industrial, mechanical, process) or a related field
Over 5 years of experience in MLOps or machine learning engineering, with a focus on deploying and managing deep learning models at scale
Strong skills in Python, CI/CD pipelines, and ML frameworks (e.g., PyTorch, TensorFlow, OpenCV) for automating and scaling ML workflows
Expertise in monitoring and alert automation for ML workflows, including data pipelines, training processes, and model performance (e.g., Prometheus, Grafana)
Familiarity with distributed training techniques, multi-GPU strategies, and hardware optimization for deep learning
Strong communication and interpersonal skills

Job Responsibility

Design end-to-end architecture for the automated training of ML models
Create data pipelines to build relevant datasets and data annotation flows
Monitor ML model performance and data drift
Handle versioning, deployment, and integration with the software team
Develop and manage CI/CD pipelines for building, testing, and deploying models
Apply best practices for model versioning, rollback, and A/B testing to ensure reliable and accurate production releases
Set up a robust monitoring system and develop automated alerting solutions to proactively identify issues in data pipelines, model training, validation, and data variation
Promote MLOps best practices (Infrastructure as Code, reproducibility, security) and continuously improve internal processes to increase reliability and efficiency
Research and implement cutting-edge technologies to improve training efficiency (e.g., distributed training, HPC, multi-GPU strategies) for the research team
Explore future MLOps frameworks and GPU-based cloud solutions as part of the scalability roadmap

What we offer

Meal tickets
A place where your voice truly matters
Performance bonuses
A day off on your birthday
Private medical subscription
Trainings and learning resources
Hybrid work model
Bookster subscription
A friendly, passionate, and solution-oriented team
Opportunities to grow or change your role within the company

Senior ML Systems Engineer, Frameworks & Tooling

We’re looking for a senior engineer to help build, maintain and evolve the train...

Location

Salary:

Not provided

Cohere

Expiration Date

Until further notice

Requirements

Strong engineering experience in large-scale distributed training or HPC systems
Deep familiarity with JAX internals, distributed training libraries, or custom kernels/fused ops
Experience with multi-node cluster orchestration (Slurm, Ray, Kubernetes, or similar)
Comfort debugging performance issues across CUDA/NCCL, networking, IO, and data pipelines
Experience working with containerized environments (Docker, Singularity/Apptainer)
A track record of building tools that increase developer velocity for ML teams
Excellent judgment around trade-offs: performance vs complexity, research velocity vs maintainability
Strong collaboration skills — you’ll work closely with infra, research, and deployment teams

Job Responsibility

Build and own the training framework responsible for large-scale LLM training
Design distributed training abstractions (data/tensor/pipeline parallelism, FSDP/ZeRO strategies, memory management, checkpointing)
Improve training throughput and stability on multi-node clusters (e.g., GB200/300, AMD, H200/100)
Develop and maintain tooling for monitoring, logging, debugging, and developer ergonomics
Collaborate closely with infra teams to ensure our cluster, container environments, and hardware configurations support high-performance training
Investigate and resolve performance bottlenecks across the ML systems stack
Build robust systems that ensure reproducible, debuggable, large-scale runs

What we offer

An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits, including a separate budget to take care of your mental health
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
6 weeks of vacation (30 working days!)

Fulltime

Senior HPC Deployment Engineer

Hewlett Packard Enterprise

Location:
Australia , Melbourne

Category:
-

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
September 10, 2025

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Location:Australia , Melbourne

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