Java Performance Optimization Engineer, Tenstorrent
$100-500k
+ Variable compensation
Building computers for AI
Open for applications
Building computers for AI
501-1000 employees
Open for applications
$100-500k
+ Variable compensation
501-1000 employees
Company mission
To bring unique solutions to the problems facing AI and machine learning.
Role
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
- 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 the job involves
- 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
- 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
Application process
- 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
Our take
Advances in artificial intelligence apps, combined with a global chip shortage, are strong tailwinds for chip processor Tenstorrent. The semi-conducter developer is designing specialized chips for running artificial intelligence applications, building chips for what it calls "software 2.0".
The company’s unique approach is to build for this future software, which it believes will be written at a higher level. Combining this with conditional computing, Tenstorrent supports a scalable distributed network approach that is analogous to a human brain.
While the market for specialised AI hardware is destined to be gigantic, the company has to compete with a plethora of hopeful startups (as well as major tech companies like NVIDIA and Qualcomm). That said, Tenstorrent boasts an excellent trajectory so far, with its latest moves including unveiling its high-end Wormhole AI processors, and a partnership with LG which will see the development of chips for "Affectionate Intelligence".
Kirsty
Company Specialist at Welcome to the Jungle
Insights
52% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Dec 2024
$700m
SERIES D
Jun 2024
$300m
LATE VC
Total funding: $1.3bn
Company HQ
Flemingdon Park, Toronto, ON
Leadership
Jim Keller
(CEO)Previously Senior VP of Silicon Engineering at Intel Corporation, VP of Autopilot Hardware Engineering at Tesla, Corporate VP and Chief Architect at AMD, and VP of Engineering at Apple.
Milos Trajkovic
(Co-Founder & Director of Hardware Engineering)Former Manager of Firmware Design Engineering at AMD, and FPGA design engineer at Signum Concepts.
Ivan Hamer
(Co-Founder)Former Consulting Software/Embedded Engineer at AMD, and Senior Software Developer at iNTERFACEWARE.
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