Performance Engineer / Compiler Optimization - Crypto startup

As a Performance Engineer at this crypto startup, you will be tasked with optimizing complex systems, focusing on distributed architectures, and exploring advanced techniques for compiler and runtime strategies. You'll also work extensively on enhancing hardware-focused performance solutions, particularly in FPGA and GPU environments, while driving improvements in cryptographic code efficiency and security.

To qualify for the Performance Engineer position at our exciting crypto startup, candidates should have at least a Bachelor's degree plus 5 years of relevant experience in compiler optimization. Knowledge in distributed systems, proficiency in Rust and/or C, and expertise in FPGA and GPU optimization for cryptographic applications are crucial. An MS or PhD is a plus but not mandatory.

This Performance Engineer role stands out because it combines advanced technical challenges with the dynamic nature of a growing crypto startup. As part of a highly innovative team, you'll have the opportunity to make significant contributions to both the company’s technology and the wider blockchain industry while working in a supportive, culturally rich environment.

The salary for the Performance Engineer position at our crypto startup ranges from $175,000 to $500,000 per year, reflecting the expertise and significant impact that the team drives within the organization and the industry. Alongside this, you’ll enjoy various benefits including medical coverage, PTO, and a 401K match.

Yes! The Performance Engineer position at our crypto startup offers flexible remote work options for candidates located within the USA, allowing you to balance work and personal life while contributing to innovative projects in the crypto space.

In preparing for this question, highlight specific projects where you've applied compiler optimization strategies to enhance performance. Discuss the programming languages you've worked with, particularly Rust or C, and any tools like LLVM you utilized. Make sure to connect your past experiences to the company's goals.

When answering this question, discuss your approach to developing benchmarking methodologies, focusing on key metrics like throughput and latency. You can share examples of tools you've used in the past to measure system performance effectively and how those insights led to optimizations.

Here, provide a specific instance that shows your analytical skills and problem-solving capabilities. Consider detailing the challenges faced, the processes used to address them, and the successful outcomes of your optimization efforts in FPGA or GPU environments.

Communicate your approach to prioritization, focusing on factors like the potential impact on performance, deadlines, and resource availability. You might mention specific project management techniques you've applied, such as Agile or Kanban.

Share examples of collaboration with remote teams, emphasizing effective communication and teamwork strategies. Highlight your adaptability and how you've navigated project challenges in a startup culture characteristically focused on rapid change and innovation.

Mention specific resources, like industry conferences, research papers, or influential blogs, that you regularly follow to stay ahead in compiler technology. Discuss how you apply the knowledge gained from these resources to your work, leading to improved practices.

In addressing this question, acknowledge potential obstacles such as evolving technology standards or balancing performance with security needs. Suggest proactive measures, such as continuous learning and collaborative development, to tackle these challenges head-on.

For this answer, infuse your response with enthusiasm about the company's mission and your alignment with its values. Highlight aspects you admire, such as its innovative culture, commitment to excellence, or potential for making a significant impact in the crypto space.

Share a specific experience where you successfully learned a language—ideally Rust or another relevant language quickly. Discuss your strategy, including resources used and how you integrated what you learned into your projects.

In your response, outline a systematic approach to identifying bottlenecks, such as profiling tools or logging systems. Discuss steps taken to analyze the data and how you apply optimizations to solve these issues effectively.