Product Performance Engineer

<p><strong>About Hark</strong></p> <p>Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.</p> <p>We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.</p> <p>To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.</p> <p><strong>About the Role&nbsp;</strong></p> <ul> <li>Build deep understanding of target workloads and characterize their compute, memory, bandwidth, and latency demands on a variety of target hardware platforms</li> <li>Model performance at every level — silicon, system, service, and end-to-end user experience — and connect insights across layers</li> <li>Develop and maintain analytical and simulation-based models that project system performance across design and assumption variants</li> <li>Collaborate with silicon, software, hardware, model, and service teams to align assumptions and deliver insights</li> <li>Validate models against measured workload behavior and continuously improve fidelity</li> <li>Translate findings into clear, actionable recommendations for architects, engineers, and leadership</li> <li>Proactively identify performance risks and design opportunities ahead of architectural commit points</li> </ul> <p><strong>Requirements</strong></p> <ul> <li>5+ years analyzing workload behavior and modeling system performance for consumer or data center products</li> <li>BS in Computer Science, Electrical Engineering, or related technical discipline</li> <li>Hands-on experience with profiling, benchmarking, and tracing tools across the stack</li> <li>Strong programming skills in Python and at least one systems language (C/C++/Rust)</li> <li>Demonstrated ability to translate quantitative analysis into architectural recommendations</li> </ul> <p><strong>Bonus Qualifications</strong></p> <ul> <li>MS or PhD in a relevant technical discipline</li> <li>Experience with hardware/software co-design and architectural exploration tooling</li> <li>Familiarity with accelerator, SoC, or memory subsystem architecture</li> <li>Comfort moving fluidly between rigorous quantitative work and cross-functional influence</li> <li>Curiosity, technical depth, and a bias toward learning new system domains quickly</li> </ul> <p><strong>Compensation</strong></p> <p>The US base salary range for this full-time position is between <span data-sheets-root="1">$120,000 - $300,000</span> annually.</p> <p>The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.</p> <p><br><br></p>