HPC Computational Scientist / Engineer Job at AMD (Paris)

HPC/AI Computational Scientist / Engineer

AMD's Software and Solutions Team is seeking a HPC and AI Computational Scientis...

Location

France , Paris

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

Strong experience in scientific computing disciplines, distributed-memory parallel programming, HPC profiling tools, GPU acceleration technologies, and HPC application modernisation
Familiarity with converged HPC/AI workflows and major AI frameworks such as PyTorch or TensorFlow
Must be proficient in French and English communications
PhD in Computer Science, Computational Physics, Engineering or related subjects, or equivalent experience
At least 5 years of relevant HPC and/or AI GPU experience in research or industry

Job Responsibility

Develop, port, and optimize high-performance computing software and applications for use on AMD hardware
Work with other members of the COE team to collaboratively solve issues
Represent AMD to the customer and other third parties, and act as the customer advocate when presenting to AMD audiences
Engage with AMD product groups to drive resolution of customer issues
Develop and present training materials to internal audiences, at customer venues, and at industry conferences

Fulltime

Hpc Systems Engineer

The HPC Systems Engineer is responsible for overseeing the management of nationa...

Location

United States , San Diego

Salary:

94400.00 - 115000.00 USD / Year

UC San Diego

Expiration Date

Until further notice

Requirements

Bachelor's degree in related area and /or equivalent experience / training
Advanced knowledge of systems integration and deploying moderately complex systems integration solutions
Strong knowledge of administering Linux systems, primarily Red Hat and its derivatives
Ability to install, maintain, upgrade, and troubleshoot large (petabyte scale) high performance parallel and distributed filesystems such as Lustre, GPFS and Ceph
Strong demonstrated experience with a major configuration management software
Demonstrated experience programming and scripting

Job Responsibility

Overseeing the management of national and campus-level high-performance computing (HPC) clusters and their associated storage systems
Performing in-depth analysis, testing, scripting, and benchmarking
Contributing to the design, installation, and upgrade of large-scale HPC clusters and storage resources
Working closely with other teams to integrate HPC systems into SDSC's network, cloud, and user environments
Managing performance testing at all levels
Deploying monitoring tools with appropriate alert mechanisms
Serving as a liaison between the Operations team and computational scientists
Implementing version control for system configurations

Fulltime

Senior Scientist – Research Computational Biology Platforms

The ARIA Computational Biology team is seeking a talented and creative computati...

Location

United States , South San Francisco; Boston; Thousand Oaks

Salary:

146404.00 - 198076.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

PhD in computational biology, bioinformatics, data science, or a related discipline [and relevant post-doc where applicable]
Master’s degree in computational biology, bioinformatics, data science, or a related discipline and 3 years of relevant research experience
Bachelor’s degree in computational biology, bioinformatics, data science, or a related discipline and 5 years of relevant research experience
Strong programming expertise in Python and R, with proficiency in Linux/Unix environments, cloud computing, HPC, and collaborative development practices (e.g., Git)
Experience developing complex computational tools and visualizations that translate biological insights into actionable strategies
Experience developing and deploying computational tools and pipelines, including use of workflow management systems (e.g., Nextflow), CI/CD practices, and interactive visualization tools (e.g., Shiny/Streamlit)
Strong background in molecular and systems biology
Demonstrated expertise in the analysis and interpretation of single-cell omics data
Experience leveraging and fine-tuning transcriptional foundation models, large language models (LLMs), and biomedical knowledge graphs to advance research objectives
Familiarity with high-value public data resources (e.g., DepMap, Human Cell Atlas, TCGA, GTEx, and Tahoe-100M) used to complement and enhance analyses of internal datasets

Job Responsibility

Developing and applying methods and platforms to discover, prioritize, and validate targets across a broad range of diseases and therapeutic modalities
Designing and building a Precision Targeting Engine that integrates internal and high-value public data into an automated, scalable framework with custom expression analytics across diverse data types and disease areas
Contributing to the design and evolution of Amgen’s preclinical omics data ecosystem in partnership with the Research Informatics team
Evaluating and integrating emerging AI/ML technologies (e.g., biological foundation models), and developing custom research agents to accelerate early pipeline efforts
Partnering with data science and information systems teams to embed tools and analyses developed within ARIA Computational Biology into integrated R&D platforms
Training and mentoring other scientists in the use of advanced research tools and platforms

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible

Fulltime

Ai Research Scientist — Agentic Ai For Materials Discovery

This role sits within Meta's Reality Labs Research, in the Material and Systems ...

Location

United States , Redmond

Salary:

184000.00 - 257000.00 USD / Year

Principal Research Scientist, Quantum Chemistry

The rapid evolution of quantum technologies is opening the door to utility-scale...

Location

United States , Milpitas

Salary:

135500.00 - 275000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Ph.D. in Physics, Chemistry, Chemical Engineering, Applied Mathematics, Computer Science, or a related field, with a focus in quantum chemistry / electronic structure, quantum many-body physics, or quantum information
5+ years post-PhD research experience in quantum chemistry, quantum simulation, or closely related fields, with some experience in national labs, major research centers, or equivalent industrial labs
Demonstrated expertise in electronic structure and quantum chemistry methods (e.g., QMC, CI/FCI, coupled-cluster, multi-reference methods), with a strong publication record
Significant experience with classical simulation of quantum systems and/or quantum algorithms for chemistry and materials (e.g., VQE, qubitization, QPE, state preparation, real-time dynamics)
Proven track record of development and optimization of large-scale scientific software in C++ and/or Fortran, with Python as a scripting / orchestration layer
Experience with at least one major community codebase (e.g., QMCPACK, Q-CHEM, similar) is highly valued
Hands-on experience with HPC environments, including parallel programming (MPI, OpenMP and/or CUDA/HIP), job schedulers, profiling, and performance tuning on leadership-class systems or large clusters
Strong mathematical background in linear algebra, numerical analysis, probability/statistics, and many-body theory
Demonstrated ability to lead research efforts: setting technical direction, coordinating multi-institutional collaborations, and delivering ambitious milestones
Excellent written and verbal communication skills, with experience presenting to both expert and cross-disciplinary audiences

Job Responsibility

Lead original research at the intersection of quantum chemistry, quantum algorithms, and HPC, from concept through prototype and tech transfer
Design and implement classical–quantum workflows that couple large-scale classical simulations with NISQ and fault-tolerant quantum algorithms (e.g., for ground states, excited states, and real-time dynamics)
Extend and optimize production-quality scientific codes (e.g., electronic structure, quantum Monte Carlo, many-body simulation) to run efficiently on heterogeneous HPC architectures
Develop resource-estimation and performance-modeling tools for quantum chemistry and materials simulations on future quantum hardware
Collaborate with internal hardware, systems, and software teams to shape HPC+QC co-design, including workflows that span supercomputers, cloud resources, and quantum accelerators
Partner with external institutions (national labs, academic groups, and consortia) on multi-institutional research programs, including joint publications and code releases
Publish in top-tier venues in quantum information, computational physics/chemistry, and HPC, and represent HPE at major conferences and workshops
Mentor and technically guide a team of researchers and engineers, fostering a culture of high-quality software, rigorous benchmarks, and open scientific exchange
Participate in identifying and shaping externally funded projects (DOE, NSF, EU, etc.) and help define HPE’s role and deliverables

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Bioinformatics Scientist

At Boston Children’s Hospital, the quality of our care – and our inclusive hospi...

Location

United States , Boston

Salary:

78540.80 - 125652.80 USD / Year

Boston Children's Hospital

Expiration Date

Until further notice

Requirements

Bachelor’s degree in science, technology, engineering or mathematics
Ph.D. in Bioinformatics, Computational Biology or related preferred
Minimum of one year of advanced bioinformatics experience
Extensive knowledge of the use of open-source bioinformatics software and pipelines in high-performance computing (HPC) environments.

Job Responsibility

Providing computational support by applying a wide range of bioinformatics tools and technologies
With supervision and direction, completing assignments in the required timeframe while consistently adhering to standard operating procedures and best practices
adapting to a changing environment, resolving problems associated with assignments and seeking supervisor assistance when needed
Routinely co-leading or participating in research computing projects with other members from the BCH research community
setting goals and objectives for projects and demonstrating achievement of those goals and objectives
coordinating work activities with other stakeholders
contributing to the resulting presentations and/or publications
Training staff and researchers
effectively tailoring presentations
Communicating scientific findings clearly through presentations, email, memos, and scientific publications

What we offer

flexible schedules
affordable health, vision and dental insurance
child care and student loan subsidies
generous levels of time off
403(b) Retirement Savings plan
Pension
Tuition and certain License and Certification Reimbursement
cell phone plan discounts
discounted rates on T-passes.

Fulltime

Experimental Software Engineer

Join our team to develop the software systems driving cutting-edge fusion energy...

Location

United States , Madison

Salary:

Not provided

Realta Fusion Inc.

Expiration Date

Until further notice

Requirements

Bachelor of Science in Computer Science, Software Engineering, Data Science/Engineering, Physics, or a related field plus a minimum of 6 years of professional software engineering experience, or an equivalent combination of education and experience
Strong software engineering experience in Python and modern software practices, including testing, CI/CD, version control, and code review
Familiarity with scientific Python ecosystems (e.g., numpy, scipy, pandas, matplotlib)
Experience building data/controls/DAQ-adjacent systems and integrating with relevant technologies such as SQL databases, time-series/experimental databases (e.g., MDSPlus), APIs, UI frameworks (e.g., React), LabVIEW/PLCs, or similar control systems
Demonstrated ability to design scalable, maintainable software architectures for scientific or high-reliability environments
Familiarity with plasma diagnostics and experimental workflows (e.g., bolometers, interferometers, magnetic probes, spectrometers, neutron diagnostics, x-ray detectors, imaging systems) and the software needs around them
Familiarity with scientific simulation tools or HPC workflows (e.g., MHD, PIC, Fokker-Planck, RF heating codes such as NIRMOD, JOREK, WarpX, VPIC, Genray, AORSA, CQL3D), and how to integrate simulation outputs with experimental analysis
Exceptional interpersonal and communication skills (written and verbal) to work effectively across disciplines and with external partners
Evidence of technical leadership and innovation, such as leading major software projects, mentoring engineers, or contributing to patents/publications or open-source scientific software

Job Responsibility

Architect, develop, and maintain software systems for data acquisition, processing, storage, and retrieval for experimental data generated on WHAM
Enable easy, reliable access to experimental data for Realta Fusion and UW Madison researchers through well-designed APIs, tools, and workflows
Design and implement software for synthetic diagnostics within computational tools to accelerate comparison of simulation results with experimental diagnostics
Optimize performance of scientific software and pipelines, providing algorithmic improvements, code acceleration, and scalable processing approaches
Review, audit, and improve existing DAQ/controls software to increase data collection reliability, robustness, and integrity
Interface with cloud resources for large-scale scientific computation and data storage (e.g., AWS, Azure), including deployment, monitoring, and cost-aware scaling
Develop standards and automated methods for data quality validation, flagging anomalies and codifying trustworthiness into procedures and tooling
Partner with experimental and computational scientists, engineering, and business leadership to deliver technical milestones and product-level objectives
Conduct literature reviews and prepare technical reports/materials to support R&D direction and decision-making
Identify, write, or assist in developing grant opportunities and proposals to secure funding in a startup environment

What we offer

Competitive compensation package, including equity stock options
Comprehensive benefits including health, dental, and vision insurance, plus a 401(k)
Flexible paid time off (PTO) to support work-life balance

Fulltime

Senior AI Presales Consultant

We are seeking a high-impact, strategic AI Presales Consultant to join our elite...

Location

India , Mumbai

Salary:

Not provided

Eviden

Expiration Date

Until further notice

Requirements

7+ years in a customer-facing technical role (e.g., Presales, Solutions Architecture, AI Specialist, or Technical Consulting), with a proven track record of designing large-scale AI, ML, or HPC solutions
Deep, hands-on understanding of LLM architectures. Must be able to architect, explain, and build PoCs for RAG pipelines, including vector databases (e.g., Milvus, Pinecone, Chroma), embedding models, and data ingestion strategies
Direct experience in sizing AI infrastructure. Must be able to perform "napkin math" and detailed calculations for GPU, CPU, memory, and network requirements
Must be able to fluently discuss performance metrics (tokens/second, latency, throughput, TFLOPS) and their relationship to hardware choice (e.g., NVIDIA H100 vs. A100, memory bandwidth, interconnects like NVLink/InfiniBand)
Expertise in the AI software stack. Strong understanding of MLOps principles (Kubeflow, MLflow), Kubernetes (K8s) for AI workloads, and model serving platforms (NVIDIA Triton, KServe, or similar)
Strong, current knowledge of the AI model landscape (e.g., Llama family, Mistral, GPT-family, foundation models). Ability to discuss fine-tuning techniques, quantization, and pruning
Exceptional communication, whiteboarding, and presentation skills. Ability to translate executive-level business needs into detailed technical architecture and build a compelling C-level value proposition
Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related engineering field

Job Responsibility

Strategic Client Advisory: Lead executive-level "Art of the Possible" workshops and technical discovery sessions to understand a client's business goals, data readiness, and AI maturity
Full-Stack Solution Architecture: Design holistic, end-to-end AI solutions that synergize our supercomputing hardware, AI software platform, and MLOps capabilities to meet specific client needs
Generative AI & LLM Expertise: Act as the subject matter expert on Generative AI. Architect and evangelize scalable data ingestion and preparation pipelines, specializing in Retrieval-Augmented Generation (RAG) frameworks
Infrastructure Sizing & Performance Modelling: Analyse customer workloads (data volume, model complexity, training frequency, inference throughput) to accurately size the required platform infrastructure, including Kubernetes clusters, data storage, and software licenses. This includes calculating compute, storage, and network requirements based on key performance metrics like model parameters, token performance (tokens/sec), desired latency, and concurrent user load
Model & Software Consultation: Advise clients on AI model selection, comparing the trade-offs of open-source vs. proprietary LLMs, fine-tuning vs. foundation models, and model quantization
Position and demonstrate our proprietary AI software platform, MLOps tools, and libraries, integrating them into the client's ecosystem
Inference Optimization: Design and architect robust, low-latency, and high-throughput inference solutions for complex AI models, including large-scale LLM serving
User Experience (UX) Advocacy: Collaborate with client teams to define the end-user experience, ensuring the solution delivers tangible business value and a seamless interface for data scientists, analysts, and application users
Sales Cycle Enablement: Own the technical narrative throughout the sales cycle. Build and deliver compelling presentations, custom demonstrations, and Proofs of Concept (PoCs). Lead the technical response to complex RFIs/RFPs

Fulltime

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HPC Computational Scientist / Engineer

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