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Work From Home High Performance Computing Hpc Jobs

... high-performance computing and enterprise PaaS environment * Excellent verbal and written ... from all qualified persons regardless of their race, sex, disability, religion/belief, sexual ...

NextSilicon is revolutionizing high-performance computing. Our innovative coprocessor technology ... That's why we foster a work environment where every employee can feel valued and heard. * Impact : ...

MUST be authorized to work in the United States without sponsorship. * AWS Developer Certification ... Experience developing applications for high-performance computing (HPC). INDBH #LI-MG1

Description NextSilicon is revolutionizing high-performance computing. Our innovative coprocessor ... That's why we foster a work environment where every employee can feel valued and heard. * Impact : ...

... high performance computing technologies (CPUs, GPUs, FPGAs, etc). While strong hands-on work ... from our technology for their specific use cases, conduct and lead performance studies, code ...

Cloud HPC Engineer

Walnut Creek, CA · On-site +1

$130K - $200K/yr

Work will focus on (1) building a cloud-based high-performance computing platform for nanoscale ... Work From Home * Free Food & Snacks * Wellness Resources * Stock Option Plan Compensation * $130 ...

... high performance computing technologies (CPUs, GPUs, FPGAs, etc). While strong hands-on work ... from our technology for their specific use cases, conduct and lead performance studies, code ...

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Work From Home High Performance Computing Hpc information

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How much do work from home high performance computing hpc jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for work from home high performance computing hpc in the United States is $21.81, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $23.80 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the work from home high performance computing HPC position?

To thrive as a Work From Home High Performance Computing (HPC) professional, you need a solid background in computer science, parallel computing, and experience with HPC architectures, often supported by a relevant degree. Familiarity with tools such as Linux, job schedulers (e.g., Slurm, PBS), parallel programming languages (MPI, OpenMP), and cloud-based HPC solutions is highly valuable, and certifications in cloud platforms or HPC administration can be advantageous. Strong problem-solving skills, self-motivation, and clear written and verbal communication are essential for success while working remotely. These capabilities ensure efficient system management, troubleshooting, and collaboration with distributed teams, all of which are critical for maintaining and optimizing high-performance computing environments remotely.

What are the typical daily responsibilities of a remote high performance computing HPC professional?

As a remote High Performance Computing (HPC) professional, your daily tasks typically include monitoring system performance, troubleshooting technical issues, deploying software updates, and optimizing computational workflows. You'll frequently interact with researchers or engineering teams to support their computational projects, resolve user issues, and ensure smooth job scheduling and resource allocation. Many roles also involve automating system tasks or configuring new nodes in the HPC cluster, often via secure remote access. Effective communication and teamwork are key, as you'll regularly collaborate with both technical and non-technical colleagues, sometimes across different time zones. This dynamic work environment provides opportunities to solve complex problems and contribute to cutting-edge research and innovation.

What is a work from home high performance computing HPC job?

A Work From Home High Performance Computing (HPC) job involves managing, developing, or optimizing high-performance computing systems remotely. Professionals in these roles work on complex computational tasks, such as scientific simulations, machine learning, or large-scale data processing. Responsibilities may include configuring HPC clusters, troubleshooting performance issues, and developing parallel computing applications. These positions typically require strong knowledge of Linux, scripting, parallel computing frameworks, and cloud-based HPC solutions.

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Infographic showing various Work From Home High Performance Computing Hpc job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $45,370 per year, or $21.8 per hour.

Senior Director, Global Digital & Technology Systems Engineering

BeiGene, Inc.

Remote

$107K - $146K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer.
BeOne is a global biopharmaceutical company dedicated to the discovery and development of innovative drug therapies for the treatment of cancer. At BeOne we believe that access to life-changing medicine sees no borders.
General Description:
The Senior Director, Global Digital & Technology Systems Engineering operates primarily as the primary point of contact and strategic bridge to the Global Technology Solutions (Enterprise IT function), ensuring all business-specific systems align with Enterprise infrastructure, security, identity management, and cloud platform standards.
The role owns the end-to-end remit for systems engineering for externally developed platforms & solutions, integration engineering, and technical application lifecycles across the organization. This includes designing, configuring, and deploying high-performance computing (HPC) clusters and containerized environments, alongside implementing modern system observability frameworks and robust data pipeline integration architectures. Additionally, this leader acts as a deep technical subject matter expert who advises on and engineers foundational AI architecture and systems engineering patterns, including advanced RAG pipelines, agentic AI frameworks & multi-modal integration patterns.
As a member of the GRDTS Leadership Team, the Senior Director is an active contributor to developing and executing BeOne's R&D systems engineering strategy, defining necessary technology investments, and driving transparency in prioritization and planning. The Senior Director and their team are responsible for ensuring the strategy is fully aligned with business needs, positioning GRDTS to deliver and realize compelling business value.
A successful candidate is a dynamic leader who brings deep end-to-end pharma / biotech domain knowledge with technical expertise related to digital & technology systems, systems engineering, processes, data science, analytics, AI, & genAI. Ability to manage multiple projects across different sub-functions in a global, geographically diverse environment, and building and sustaining teams in times of ambiguity are all critical success factors for this role. An ideal candidate will adapt communication cadences and problem-solving skills to accommodate stakeholders, partners, and team members, exercise diplomacy and effective influence to reach consensus, and build strong relationships.
Essential Functions of the job:
Enterprise IT Alignment & Collaboration
  • Serve as the single point of contact and strategic bridge to Global Technology Solutions (Enterprise IT function), ensuring R&D systems align with global infrastructure, corporate cybersecurity, identity management, and cloud platform standards while advocating for specialized technical requirements.

Platforms & Systems Engineering
  • Oversee the engineering, architecting, and deployment strategies for platforms & systems, balancing on-prem, hybrid cloud, and multi-tenant SaaS environments based on business needs.
  • Architect robust, low-latency API layers and data buses to bridge disparate third-party applications, ensuring seamless data interoperability across the end-to-end organizational pipeline.
  • Implement modern observability frameworks, distributed tracing, and real-time telemetry across infrastructure and applications to proactively manage system health, identify bottlenecks, and resolve failures.
  • Lead the design, configuration, and deployment of High-Performance Computing (HPC) clusters and containerized environments optimized for compute-heavy, complex processing systems.
  • Provide oversight for the engineering and maintenance of the underlying storage fabric, data lakes, and pipelines that manage the full ingest, storage, and processing lifecycle of datasets for the Research function.
  • Manage the systems engineering and product development lifecycle, codebase evolution, patch management, and automated deployments of customized platforms and applications, ensuring long-term technical sustainability for the Research function.

Foundational AI Architectures & Workflow Patterns
  • Act as the technical SME & oversee the design, on Retrieval-Augmented Generation (RAG) architecture, engineering vector storage integrations, advanced chunking strategies, and semantic retrieval layers.
  • Design and implement agentic AI system patterns, orchestrating multi-agent frameworks that can securely handle complex, multi-step autonomous workflows and tasks.
  • Engineer pipelines capable of handling multi-modal AI inputs and outputs, allowing core systems to ingest, process, and reason across diverse data types simultaneously.

Change Management & Digital Adoption
  • Manage the technical change strategy for foundational infrastructure overhauls and cloud migrations in collaboration with GTS.
  • Drive organizational alignment around unified integration standards, guiding systems engineering, development, and vendor teams toward optimized technical architectures.

Governance & Risk Mitigation
  • Collaborate with Global Technology Solutions (Enterprise IT) in the technical implementation of secure, enterprise-grade AI proxy layers and gateways, ensuring that proprietary data, information & systems, and intellectual property are strictly sandboxed.

GRDTS Leadership:
  • Team Leadership & Talent Development:
    • Lead, mentor, and manage a high-performing GRDTS team focused on Systems Engineering.
    • Foster a culture of innovation, accountability and drive professional development.
  • Operational Excellence, Compliance & Governance:
    • Ensure all systems and platforms adhere to relevant pharmaceutical industry regulations and internal security policies.
    • Liaise with vendors, Enterprise IT partners, audit, and compliance to coordinate system implementation and change activities
    • Ensure the team is trained in and embeds CSV, compliance, and health authority requirements into operational activities.
  • Collaboration & Partnership:
    • Collaborate with R&D functions and teams on standards and best practices to attain business goals
  • Engage with peers to define, sponsor, and execute continuous improvements.

Supervisory Responsibilities:
  • Lead, mentor, and manage a high-performing GRDTS team dedicated to Systems Engineering.

Key Capabilities :
  • Enterprise-to-R&D Infrastructure Bridging: Acting as the primary liaison to global Enterprise IT, aligning R&D platforms with Enterprise cybersecurity, identity management, and cloud standards while successfully advocating for specialized Research needs.
  • External Platform Technical Assessment: Technically evaluating and stress-testing externally developed platforms, vendor solutions, and SaaS architectures to verify their scalability, security, integration readiness, and alignment with Enterprise engineering standards.
  • Internal & Vendor Platform Integration: Engineering secure, unified integration layers that connect internal applications seamlessly with externally developed third-party platforms.
  • Full-Ecosystem Observability & Reliability: Implementing real-time telemetry and monitoring across all internal and vendor-hosted applications to maximize platform uptime and performance.
  • Advanced Computer & AI Architecture Scaling: Scalability planning for cloud environments, high-performance computing, and emerging AI frameworks (e.g., enterprise RAG, secure AI gateways).
  • Technical Governance & Talent Upskilling: Driving adherence to unified architectural standards across internal teams and vendors while managing the reskilling roadmap for technical staff.

Key Competencies :
  • Objective Technical Due-Diligence: A highly analytical approach to reviewing vendor codebases, architecture diagrams, APIs, and SLAs to separate marketing claims from true engineering readiness.
  • Enterprise & Domain Diplomatic Mindset: The ability to navigate global Enterprise IT processes, translate core infrastructure constraints to the R&D team, and effectively negotiate exceptions for specialized scientific technical stacks.
  • Ecosystem-Level System Thinking: Viewing internal applications, cloud infrastructure, and external vendor platforms as a singular, cohesive, and scalable system.
  • Enterprise Risk & IP Stewardship: A security-first mindset committed to protecting Enterprise data and intellectual property across all internal and vendor-hosted environments.
  • Transformational Change Leadership: The ability to coach, upskill staff, and drive unified technical standards across groups.
  • Resilient Crisis Management: Providing decisive technical leadership during major platform upgrades, infrastructure overhauls, or critical system outages.

Key Deliverables :
  • R&D Systems Blueprint: Technical reference documentation detailing R&D systems and external vendor platforms.
  • Vendor Technical Assessment & Feasibility Reports: Formal architectural scorecards and technical risk assessments reviewing the scalability, code health, integration viability, and security posture of proposed third-party software.
  • Scalable AI/ML Architecture Patterns & Blueprints: Reusable infrastructure configurations, standardized RAG pipeline templates, and multi-agent workflow frameworks engineered to rapidly accelerate and scale projects.
  • Ecosystem Observability & Telemetry Views: A centralized, live monitoring infrastructure providing end-to-end health tracking and alert routing across all external systems and platforms.
  • Cross-Functional Governance & Technical Alignment Agreements: Formally negotiated architecture and compliance agreements co-authored with global Enterprise IT to approve R&D systems.

Other Qualifications:
  • 12+ years of professional experience in data, digital & information technology with direct oversight and experience in the Systems Engineering area in the Pharmaceutical, Biotechnology, and/or Medical Device industries
  • 7+ years of proven leadership experience at a senior level, directing a team of multi-skilled direct reports and associate-level team members.
  • Strong experience in ML/AI/genAI methods and technologies from a Systems Engineering angle.
  • Business relationship management acumen and demonstrable success as a change agent leading or contributing to significant transformational initiatives in organizations.
  • Strong experience with software lifecycle methodologies, 21CFR Part 11 compliance, and GxP computer systems validation (CSV), ICH guidelines.
  • Accomplished in building and development of people and teams, comfortable working with a broad cross section of people in direct and matrixed relationships
  • Proficient in various project management disciplines (i.e., Agile, Scrum, Kanban, Lean etc.)

Education Required:
  • Bachelor or above

Travel:
  • Some travel expected as part of assigned duties

BeOne Global Competencies:
When we exhibit our values of Patients First, Collaborative Spirit, Bold Ingenuity and Driving Excellence, through our twelve global competencies below, we help get more affordable medicines to more patients around the world.
  • Fosters Teamwork
  • Provides and Solicits Honest and Actionable Feedback
  • Self-Awareness
  • Acts Inclusively
  • Demonstrates Initiative
  • Entrepreneurial Mindset
  • Continuous Learning
  • Embraces Change
  • Results-Oriented

Global Competencies
When we exhibit our values of Patients First, Driving Excellence, Bold Ingenuity and Collaborative Spirit, through our twelve global competencies below, we help get more affordable medicines to more patients around the world.
  • Fosters Teamwork
  • Provides and Solicits Honest and Actionable Feedback
  • Self-Awareness
  • Acts Inclusively
  • Demonstrates Initiative
  • Entrepreneurial Mindset
  • Continuous Learning
  • Embraces Change
  • Results-Oriented
  • Analytical Thinking/Data Analysis
  • Financial Excellence
  • Communicates with Clarity

Salary Range: $207,800.00 - $277,800.00 annually
BeOne is committed to fair and equitable compensation practices. Actual compensation packages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. Packages may vary by location due to differences in the cost of labor. The recruiter can share more about the specific salary range for a preferred location during the hiring process. Please note that the listed range reflects the base salary or hourly range only. Non-Commercial roles are eligible to participate in the annual bonus plan, and Commercial roles are eligible to participate in an incentive compensation plan. All Company employees have the opportunity to own shares of BeOne Medicines Ltd. stock because all employees are eligible for discretionary equity awards and to voluntarily participate in the Employee Stock Purchase Plan. The Company has a comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness.
We are proud to be an equal opportunity employer. BeOne does not discriminate on the basis of race, religion, color, sex, gender id

BeiGene logo

About BeiGene

Sourced by ZipRecruiter

BeiGene (NASDAQ: BGNE; HKEX: 06160; SSE: 688235) is a global, science-driven biotechnology company focused on developing innovative and affordable medicines to improve treatment outcomes and access for patients worldwide. With a broad portfolio of more than 40 clinical candidates, we are expediting development of our diverse pipeline of novel therapeutics through our own capabilities and collaborations. We are committed to radically improving access to medicines for two billion more people by 2030. BeiGene has a growing global team of over 8,200 colleagues across five continents. For more information, please visit www.beigene.com .

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

Cambridge, MA, US

Year founded

2010

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