Develop and optimize a proprietary compiler for quantum computing, ensuring performance and integration with hardware and algorithms through hands-on programming.
Description
Requirements
Preferred Skills
None
Quantum Machines is a global leader in hybrid control systems for quantum computing, a field on the verge of exponential growth.
Our innovative hardware and software offer a groundbreaking approach to controlling quantum computers, scaling from individual qubits to arrays of thousands.
At the heart of QM is a passionate, ambitious team committed to transforming the construction and operation of quantum computers. Our deep understanding of customer needs drives us to deliver unmatched solutions in this revolutionary field.
We are looking for a highly experienced a hands-on Compiler Engineer who embodies ambition and positivity.
Someone who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.
Requirements
Responsibilities:
- Develop QM's compiler from a proprietary quantum language to a proprietary processor tailored to realize and accelerate quantum computing.
- Take on complex optimization challenges at the core of our unique compiler, focusing on real-time applications, hybrid quantum/classical algorithms, and parallel processing.
- Conduct rigorous testing, debugging, and profiling to ensure the performance and correctness of compiler outputs.
- Hands-on development and debugging of software to optimize the utilization of limited hardware resources, enabling the scaling of quantum computing systems and improving quantum algorithm performance on our cutting-edge quantum orchestration platform.
- Collaborate closely with hardware, software and architecture teams to ensure seamless software-hardware integration, directly enhancing system capabilities and performance.
Requirements:
- At least 5 years of hands-on programming experience – Must.
- BSc. in Computer Science, Computer Engineering, Mathematics, or any relevant scientific field (advanced degrees are an advantage) - Must.
- Experience in computer architecture, assembly language, and low-level programming concepts – Advantage.
- Experience working in a multidisciplinary environment – Advantage.
- Familiarity with MLIR/LLVM – Advantage.
- A motivated and resourceful problem solver with a passion for tackling complex technical challenges, especially in hardware-oriented environments.
Preferred Skills
None
Top Skills
Compiler Development
Llvm
Low-Level Programming Concepts
Mlir
Programming
Quantum Computing
Similar Jobs
Hardware • Manufacturing
Design, optimize, and maintain compiler and toolchain infrastructure for RISC-V processors, collaborating across teams to ensure efficient code generation.
Top Skills:
CC++GccLlvmRust
Artificial Intelligence • Software
The Lead AI Graph Compiler Engineer will develop a scalable machine learning compiler using MLIR and LLVM while optimizing performance across various model architectures.
Top Skills:
C++LlvmMlir
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Senior Compiler Engineer will design and implement compiler components, optimize performance, and work with global teams on GPU technologies.
Top Skills:
C,C++,Llvm,Cuda,Directx,Opengl,Vulkan
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
