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Meet the Team

We are an innovation team on a mission to transform how enterprises harness AI. Operating with the agility of a startup and the focus of an incubator, we’re building a tight-knit group of AI and infrastructure experts driven by bold ideas and a shared goal: to rethink systems from the ground up and deliver breakthrough solutions that redefine what's possible — faster, leaner, and smarter.

We thrive in a fast-paced, experimentation-rich environment where new technologies aren’t just welcome — they’re expected. Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise.

If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure — we'd love to meet you.

Your Impact

As High-performance AI compute engineer, you will be instrumental in defining and delivering the next generation of enterprise-grade AI infrastructure. As a Senior Leader in our GPU and CUDA Runtime team, you will play a critical role in shaping the future of high-performance compute infrastructure. Your contributions will directly influence the performance, reliability, and scalability of large-scale GPU-accelerated workloads, powering mission-critical applications across AI/ML, scientific computing, and real-time simulation.

You will be responsible for developing low-level components that bridge user space and kernel space, optimizing memory and data transfer paths, and enabling cutting-edge interconnect technologies like NVLink and RDMA. Your work will ensure that systems efficiently utilize GPU hardware to its full potential, minimizing latency, maximizing throughput, and improving developer experience at scale.

This role offers the opportunity to impact both open and proprietary systems, working at the intersection of device driver innovation, runtime system design, and platform integration.

+ Design, develop, and maintain device drivers and runtime components for GPU and network components of the systems.

+ Working with kernel and platform components to build efficient memory management paths using pinned memory, peer-to-peer transfers, and unified memory.

+ Optimize data movement using high-speed interconnects such as RDMA, InfiniBand, NVLink, and PCIe, with a focus on reducing latency and increasing bandwidth.

+ Implement and fine-tune GPU memory copy paths with awareness of NUMA topologies and hardware coherency.

+ Develop instrumentation and telemetry collection mechanisms to monitor GPU and memory performance without impacting runtime workloads.

+ Contribute to internal tools and libraries for GPU system introspection, profiling, and debugging.

+ Provide technical mentorship and peer reviews, and guide junior engineers on best practices for low-level GPU development.

+ Stay current with evolving GPU architectures, memory technologies, and industry standards.

Minimum Qualifications

+ Bachelor's or Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related field.

+ 15+ years of experience in systems programming, ideally with 5+ years focused on CUDA/GPU driver and runtime internals.

+ Prior contributions to kernel-space development, ideally in Linux kernel modules, device drivers, or GPU runtime libraries (e.g., CUDA, ROCm, or OpenCL runtimes).

+ Authority in C/C++ with low-level systems proficiency (memory management, synchronization, cache coherence).

+ Deep understanding of HPC workloads, performance bottlenecks, and compute/memory tradeoffs.

Preferred Qualifications:

+ PhD is a plus, especially with research in GPU systems, compilers, or HPC.

Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Message to applicants applying to work in the U.S. and/or Canada:

The starting salary range posted for this position is $280,000.00 to $354,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

+ 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees

+ 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco

+ Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees

+ Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)

+ 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next

+ Additional paid time away may be requested to deal with critical or emergency issues for family members

+ Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:

+ .75% of incentive target for each 1% of revenue attainment up to 50% of quota;

+ 1.5% of incentive target for each 1% of attainment between 50% and 75%;

+ 1% of incentive target for each 1% of attainment between 75% and 100%; and

+ Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

The applicable full salary ranges for this position, by specific state, are listed below:

New York City Metro Area:

$337,100.00 - $490,700.00

Non-Metro New York state & Washington state:

$299,900.00 - $436,700.00

* For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.

** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.