Sr. Staff Information Systems Engineer

Synaptics•San Jose, CA

10d•$142,000 - $223,300

About The Position

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.

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.
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
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

Nice To Haves

Familiarity with containerization in HPC (Apptainer/Singularity, Docker, Kubernetes)
Knowledge of HPC security models, multi-tenant environments, and compliance frameworks

Responsibilities

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