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Product Performance Engineer

HarkSan Jose, California

$120,000 - $300,000 / year

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Overview

Schedule
Full-time
Career level
Senior-level
Remote
On-site
Compensation
$120,000-$300,000/year
Benefits
Career Development

Job Description

About Hark

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.

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.

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.

About the Role 

  • Build deep understanding of target workloads and characterize their compute, memory, bandwidth, and latency demands on a variety of target hardware platforms
  • Model performance at every level — silicon, system, service, and end-to-end user experience — and connect insights across layers
  • Develop and maintain analytical and simulation-based models that project system performance across design and assumption variants
  • Collaborate with silicon, software, hardware, model, and service teams to align assumptions and deliver insights
  • Validate models against measured workload behavior and continuously improve fidelity
  • Translate findings into clear, actionable recommendations for architects, engineers, and leadership
  • Proactively identify performance risks and design opportunities ahead of architectural commit points

Requirements

  • 5+ years analyzing workload behavior and modeling system performance for consumer or data center products
  • BS in Computer Science, Electrical Engineering, or related technical discipline
  • Hands-on experience with profiling, benchmarking, and tracing tools across the stack
  • Strong programming skills in Python and at least one systems language (C/C++/Rust)
  • Demonstrated ability to translate quantitative analysis into architectural recommendations

Bonus Qualifications

  • MS or PhD in a relevant technical discipline
  • Experience with hardware/software co-design and architectural exploration tooling
  • Familiarity with accelerator, SoC, or memory subsystem architecture
  • Comfort moving fluidly between rigorous quantitative work and cross-functional influence
  • Curiosity, technical depth, and a bias toward learning new system domains quickly

Compensation

The US base salary range for this full-time position is between $120,000 - $300,000 annually.

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.

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FAQs About Product Performance Engineer Jobs at Hark

What is the work location for this position at Hark?
This job at Hark is located in San Jose, California, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Hark?
Candidates can expect a pay range of $120,000 and $300,000 per year.
What employment applies to this position at Hark?
Hark lists this role as a Full-time position.
What experience level is required for this role at Hark?
Hark is looking for a candidate with "Senior-level" experience level.
What benefits are offered by Hark for this role?
Hark offers Career Development for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Hark?
You can apply for this role at Hark either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.