Sr. Staff Information Systems Engineer

Description

Synaptics is leading the charge in AI at the Edge, bringing AI closer to end users and transforming how we engage with intelligent connected devices, whether at home, at work, or on the move. As the go-to partner for the world’s most forward-thinking product innovators, Synaptics powers the future with its cutting-edge Synaptics Astra™ AI-Native embedded compute, Veros™ wireless connectivity, and multimodal sensing solutions. We’re making the digital experience smarter, faster, more intuitive, secure, and seamless. From touch, display, and biometrics to AI-driven wireless connectivity, video, vision, audio, speech, and security processing, Synaptics is the force behind the next generation of technology enhancing how we live, work, and play.

Overview

Synaptics is looking for a Sr. Staff Information Systems Engineer to join our dynamic and growing organization. You will be responsible for supporting Synaptics infrastructure and the engineering environment. Working within our IT team provides a unique opportunity to work across the engineering disciplines from IT infrastructure. This position reports to the Director, IT Infrastructure Operations.

The typical base pay range for this position is USD $142,000 - $223,300 per year. Individual pay is determined by many factors including work location, job-related skills, experience, and relevant education or training. This position is also eligible for a discretionary annual performance bonus, equity, and other benefits. Note that compensation listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Responsibilities & Competencies

Job Duties

• Architect end-to-end HPC solutions including compute clusters, high-speed networking, storage, and workload orchestration
• Develop long-term platform strategy, including CPU/GPU/accelerator roadmap planning
• Evaluate and integrate new technologies (processing, networking, accelerators, fabrics, storage, AI/ML)
• Design scalable, fault-tolerant, and high-performance system architectures
• Conduct performance modeling, simulation, and benchmarking using industry tools
• Optimize system performance at the kernel, network, I/O, and application layers
• Collaborate with engineering, development and research teams to improve application performance on HPC platforms
• Deploy, configure, and tune large-scale Linux-based HPC clusters & Infra Core Servers
• Collaborate with DevOps and platform teams to automate provisioning, monitoring, and lifecycle management
• Establish operational standards, reliability practices, configuration management, and documentation
• Drive capacity planning, workload optimization, and resource utilization strategies
• Provide technical leadership and partner with Engineering Services to optimize and develop future technology strategies
• Partner with simulation teams on workload onboarding, optimization, and adoption of best practices
• Partner with vendors and technology partners to evaluate hardware and software solutions
• Drive architectural excellence across the Synaptics technology environment
  
  

Competencies

• Skilled in scripting and automation (Python, Bash, Ansible, Terraform)
• Expertise with HPC cluster architectures, including compute nodes, file systems, and high-speed interconnects
• Deep knowledge of workload managers (Slurm, designsync, LSF) and Linux systems engineering
• Deep knowledge of Microsoft Active Directory, authentication and directory services
• Strong understanding of ETX, NX, VNC
• Familiarity with containerization in HPC (Apptainer/Singularity, Docker, Kubernetes)
• Knowledge of HPC security models, multi-tenant environments, and compliance frameworks
• Excellent verbal and written communication, interpersonal and analytical skills, including the ability to communicate complex concepts clearly
• Ability to work with dynamic, geographically distributed, cross functional teams as necessary to complete projects
• Proactive, self-starter, able to work independently in a fast-paced environment to complete projects on time with minimal guidance
• Well organized with strong attention to detail; proactively ensures work is accurate
• Positive attitude and work ethic; unafraid to ask questions and explore new ideas
• Resourceful and able to solve complex problems through adaptation of existing technology and investigation of new technology to resolve complex problems
  
  

Qualifications (Requirements)

• Bachelor’s degree (Masters preferred) in Electrical Engineering, Mechanical Engineering, Computer Science, or related field, or equivalent
• 12 years of experience designing, deploying, and managing computer infrastructures and services
• Hands-on experience with NAS based storage technologies.
• Proven experience optimizing performance for large-scale computer, networking, and storage systems.
• Experience designing AI/ML clusters, heterogeneous computing environments, or exascale-class systems.
• Experience with cloud or hybrid HPC (AWS, Azure, Google Cloud, OCI).
• Experience supporting scientific, engineering, EDA, financial modeling, or simulation workloads.
• Minimal travel up to 10% required
  
  

Belief in Diversity

Synaptics is an Equal Opportunity Employer committed to workforce diversity. Qualified applicants will receive consideration without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, or genetic information.