Compiler job description

About the Position

We are excited to announce research internships in our Tools and Compilers group, which will be available to complete from Summer 2022. We're looking for PhD and masters students with outstanding research experience in programming languages, compilers, verification, and related areas.

Jane Street's Compilers team focuses on improving OCaml as a foundation for Jane Street's ever-growing technology stack, in collaboration with the greater OCaml community. We work on many different aspects of the compiler, aiming to make it easier for developers to express their ideas in OCaml, to improve the performance of the generated code, and to make the OCaml compiler itself faster and easier to use.

Over the years, we extended the type system with support for novel language features, re-engineered the optimizer ground-up, and added feedback-directed optimization. We also extend and enhance the surrounding toolchain, working on tools for profiling, debugging, documenting, and building automation. The vast majority of our work is open-source, and we upstream as much as we can to the mainstream OCaml compiler.

During the application process, we will work with you to identify a project that aligns with your research expertise and interests. Examples of areas we are interested in exploring include:

• Verifying C bindings with respect to OCaml's garbage collector
• Superoptimization
• Type systems that track locality and uniqueness

During the internship, you will work in collaboration with your mentors on one project for about 10-12 weeks. You'll learn how we use OCaml in our day-to-day work, and gain exposure to the libraries and tools that are foundational to our internal systems. You'll gain a better understanding of the wide range of problems we solve every day. You'll try out new ideas and apply state-of-the art research to a large actively-developed production codebase.

You'll also be able to access our physical and virtual educational resources, attend guest speakers and social events, and hopefully get a real sense of what it would be like to work here full time.

About You

We're looking for PhD and masters students with outstanding research experience in programming languages, compilers, verification, and related areas. We don't expect you to have a background in finance, OCaml, or functional programming. Fluency in English required.

We are currently looking to hire a Postdoctoral Appointee to work on parallel programming and compilers. The postdoctoral Appointee works in the X-CELLENT (Cross-Compiler Extending LLVM for Enhanced Natural Translation) project in collaboration with Princeton and Northwestern University.

The objective of this project is to produce an open-source parallel-programming-model translator that translates high-performance computing applications written in one parallel programming model to use another parallel programming model. Supported programming models include thread-parallel OpenMP, target-offloaded OpenMP and CUDA.

The Postdoctoral Appointee also works on preserving high-level information from OpenMP and CUDA into the PS-PDG and to improve analysis, optimization remarks and debugging that is otherwise based only on LLVM-IR encoding. Moreover, the intermediate representation has to be translated back into natural source code. Concretely, we will work on translating QMCPACK's into a fully OpenMP-based application making optimal use of offloading resources.
**Position Requirements**

+ Recent or soon to be completed PhD (typically within 0-3 years) in computer science, physics, or a computational/engineering discipline

+ Programming experience in C++ and in a collaborative environment

+ Familiarity and/or experience with one or more of the following topics: Optimizing compilers, preferably Clang/LLVM; Program performance optimization; OpenMP, including target-offloading; CUDA; High-performance/scientific computing; MCPACK.

**Job Family**

Postdoctoral Family

**Job Profile**

Postdoctoral Appointee

**Worker Type**

Long-Term (Fixed Term)

**Time Type**

Full time

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Santa Clara Valley (Cupertino),California,United States

Software and Services

+ Strong scripting language experience

+ Knowledge and experience, an understanding of modern data analytics techniques and a working knowledge of at least one data analytics platform

+ Experience with using and creating databases

+ Interpersonal and teamwork skills that demonstrate an ability to collaborate both with your peers and with other teams consisting of people with different expertise

**Description**

Our team is a small growing team dedicated to providing analytical and system support. We work on a wide variety of projects to support internal development and ensure we always ship the best possible product. The people here at Apple don't just build products - they build the kind of wonder that's revolutionized entire industries. Together, our work will be the reason millions of customers feel that they can trust our devices every single day. Imagine what you could do at Apple. We will consider non-US applicants and are open to exploring visa options. Here you'll find that we: • Have a peaceful work environment where you can choose when to socialize and when to close your office door and focus • Provide technical guidance, software architectural review, and mentorship • Have an encouraging and growth-focused workplace culture • Encourage you to use accrued vacation time and maintain a healthy work-life balance • Offer excellent benefits The position is based onsite at Apple's campus in Cupertino, California. International candidates are welcome to apply but will need to relocate; the company explore visa options where applicable. You should have skills in multiple of the listed areas, but expertise in all of them is not required.

**Education & Experience**

B.S. in Computer Science or equivalent experience

**Additional Requirements**

+ If you believe you have additional skills not listed here that would make you a good candidate for this position, please feel free to include a cover letter describing those skills and their applicability to the position.

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