Cloud Infrastructure Engineer - AWS / HPC / Scientific Computing

Job Description

Job Description

Cloud Infrastructure Engineer – AWS / HPC / Scientific Computing

Location: Palo Alto, California (On-site)

Industry: Advanced Semiconductors / Cloud Infrastructure / Scientific Computing

Company: Confidential, Stealth-Mode Venture

Recruiting Firm: Leadingedge Technology Search

The Opportunity

We are conducting a confidential search for a well-funded, stealth-mode semiconductor technology company backed by top-tier investors.

The company is developing a next-generation semiconductor technology platform and expanding its engineering infrastructure organization. We are seeking an experienced Infrastructure Engineer to design, build, and operate a sophisticated AWS-based scientific computing environment supporting advanced engineering, research, simulation, and semiconductor development.

This is a hands-on engineering opportunity for an accomplished cloud infrastructure engineer with deep expertise in AWS, Windows and Linux virtual desktops, high-performance computing (HPC), GPU-accelerated workloads, and engineering software environments.

The successful candidate will build upon an existing AWS foundation to create a scalable, secure, and highly reliable digital engineering platform integrating virtual desktops, engineering applications, scientific databases, laboratory systems, data pipelines, and computational resources.

This position offers significant technical ownership, the opportunity to build mission-critical engineering infrastructure, and meaningful equity in an early-stage technology company.

What You'll Do

• Design, build, deploy, and operate an AWS-based scientific computing infrastructure supporting advanced engineering and research teams.
• Architect and manage production-quality Windows and Linux virtual desktop environments for engineers and scientists.
• Deploy GPU-accelerated virtual desktops supporting engineering visualization, modeling, simulation, and design applications.
• Implement and manage AWS virtual desktop technologies, including Amazon WorkSpaces, Amazon DCV, Amazon AppStream 2.0, or comparable solutions.
• Integrate cloud-based desktops with databases, laboratory instrumentation, engineering applications, shared storage, and scientific data pipelines.
• Architect and deploy high-performance computing environments supporting computational modeling, simulation, and data-intensive engineering workloads.
• Implement scalable compute resources and job scheduling infrastructure for scientific and engineering applications.
• Configure and optimize AWS services, including Amazon EC2, S3, VPC, IAM, and related cloud infrastructure components.
• Develop and maintain high-performance shared storage environments for engineering and scientific workloads.
• Deploy, configure, and maintain commercial and custom engineering software, including application packaging, version management, and license servers.
• Automate infrastructure provisioning and management using Terraform, AWS CloudFormation, AWS CDK, or comparable infrastructure-as-code technologies.
• Develop automation scripts using Python, Bash, PowerShell, or related programming languages.
• Implement monitoring, logging, patch management, backup, recovery, and operational reliability processes.
• Establish secure identity management, access controls, network segmentation, and data protection practices.
• Collaborate with corporate IT and engineering leadership to implement infrastructure security policies and protect sensitive intellectual property.
• Troubleshoot complex infrastructure, application performance, networking, and computing environment issues.
• Optimize infrastructure performance, scalability, reliability, and cloud operating costs.
• Work directly with engineering and research teams to understand computational requirements and deliver effective technical solutions.
• Establish technical documentation, operational procedures, and infrastructure best practices.

Qualifications

Required

• BS, MS, or PhD in Engineering, Computer Science, Information Technology, Physics, or a closely related technical discipline.
• Demonstrated experience designing, building, and operating AWS-based technical computing infrastructure used daily by engineers, scientists, or research teams.
• Hands-on experience delivering and supporting production-quality Windows and Linux virtual desktop environments.
• Experience with Amazon WorkSpaces, Amazon DCV, Amazon AppStream 2.0, or comparable virtual desktop technologies.
• Strong expertise with core AWS infrastructure services, including Amazon EC2, Amazon S3, Amazon VPC, and AWS Identity and Access Management (IAM).
• Experience supporting compute-intensive engineering, scientific, simulation, or technical application environments.
• Strong understanding of cloud networking, storage, identity management, access control, and infrastructure security.
• Hands-on experience with infrastructure-as-code technologies such as Terraform, AWS CloudFormation, or AWS CDK.
• Proficiency in Python, Bash, PowerShell, or comparable scripting and automation languages.
• Experience troubleshooting complex cloud infrastructure, operating systems, networking, and application environments.
• Demonstrated ability to build reliable, scalable, and secure infrastructure solutions.
• Strong analytical, technical, and problem-solving skills.
• Ability to resolve ambiguous and complex engineering challenges independently.
• Excellent communication and cross-functional collaboration capabilities.
• Comfortable working in a fast-paced, highly innovative startup environment.

Preferred Experience

Candidates with experience in one or more of the following areas are particularly encouraged to apply:

• AWS infrastructure architecture for scientific and engineering computing
• Research and Engineering Studio on AWS
• Amazon WorkSpaces, Amazon DCV, and Amazon AppStream 2.0
• GPU-accelerated cloud desktops and remote visualization environments
• High-performance computing (HPC) architecture and deployment
• AWS ParallelCluster, AWS Batch, and Slurm job scheduling
• Amazon FSx for Lustre, Amazon FSx for NetApp ONTAP, and Amazon EFS
• High-performance shared storage and distributed file systems
• Semiconductor engineering, electronic design automation (EDA), and computational simulation environments
• Computer-aided design (CAD), modeling, and scientific visualization applications
• Engineering software deployment, application packaging, and version management
• FlexLM/FlexNet and other engineering software licensing systems
• AWS Managed Microsoft AD, AWS IAM Identity Center, and single sign-on integration
• Amazon RDS, Amazon Aurora, and AWS Step Functions
• Scientific data pipelines, laboratory instrumentation integration, and research data management
• Infrastructure automation using Terraform, CloudFormation, or AWS CDK
• CI/CD pipelines, DevSecOps, and infrastructure security automation
• Cloud monitoring, observability, backup, and disaster recovery
• Cloud cost optimization and performance tuning
• AWS Certified Solutions Architect – Professional or comparable AWS certifications
• Experience supporting intellectual-property-sensitive engineering environments
• Experience building cloud infrastructure in early-stage or rapidly growing technology companies

Why Consider This Opportunity?

• Join a well-funded, stealth-mode semiconductor technology company backed by top-tier investors.
• Build and own the cloud infrastructure supporting a next-generation semiconductor technology platform.
• Architect a sophisticated scientific computing environment from initial development through production operation.
• Work alongside accomplished engineers, scientists, and technology innovators.
• Influence critical infrastructure architecture, computing performance, security, and scalability decisions.
• Play a key role in enabling advanced semiconductor research, simulation, and engineering development.
• Take significant technical ownership in a rapidly growing engineering organization.
• Competitive compensation, comprehensive benefits, and meaningful early-stage equity.
• Opportunity for substantial technical impact and long-term career growth.

Compensation & Benefits

Competitive base salary commensurate with experience and seniority, meaningful equity participation, comprehensive health benefits, paid time off, and additional benefits.

Confidential Search: Leadingedge Technology Search is managing this search on behalf of a privately held semiconductor technology company. Additional company information will be shared with qualified candidates during the interview process.

\nCompany Description

Stealth-Mode Start-Up backed by Tier 1 investors

Company Description

Stealth-Mode Start-Up backed by Tier 1 investors