Similar Jobs
.png)
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
We are seeking an experienced Java Performance Engineer to join our team. In this role, you will work on enabling, characterizing and optimizing the performance of Java workloads running on Tenstorrent hardware platforms. You will dive deep into the JVM internal, including JIT compilation, garbage collection and synchronization mechanisms, and apply advanced profiling and tuning techniques to improve performance across a variety of key Java workloads.
This role is remote , based out of North America.
We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.
Who You Are
A hands-on performance optimizer with a passion for squeezing out every cycle.
Equally comfortable diving into low-level assembly and high-level Java code.
Curious about new architectures and how to push them to their limits.
Collaborative and communicative, thriving in cross-functional engineering environments.
Motivated by real-world impact—your optimizations translate into measurable wins.
What We Need
Ph.D. (or equivalent experience) in Computer Engineering, Electrical Engineering, or related field.
Deep understanding of JVM internals, interpreter, JIT, and GC algorithms.
Strong skills in Java concurrency, threading models, and synchronization mechanisms.
Hands-on experience with Java Vector API and SIMD optimization.
Expertise in performance profiling/tuning with tools like perf, JFR, async-profiler, VisualVM, or YourKit.
Proficiency in Java, Python, C/C++, and RISC-V assembly.
Familiarity with SPECjbb and large-scale workloads (Spark, Hadoop, Cassandra).
What You Will Learn
Performance trade-offs across Java workloads on RISC-V and other architectures.
Advanced JVM optimization techniques from interpreter tuning to JIT compilation strategies.
SIMD and vectorization best practices with the Java Vector API.
Cross-functional workflows between compiler, architecture, and software performance teams.
State-of-the-art Java performance analysis methods and tools.
Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
