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Software Engineer, High Performance Computing

Join the core engineering team at SpaceX to tackle some of the most complex computational challenges in the aerospace industry. As a Software Engineer focused on HPC, you will be responsible for designing, developing, and optimizing large-scale, highly parallelized software solutions. This role demands expertise in maximizing throughput across massive computing clusters using techniques like MPI or OpenMP. Key responsibilities include profiling existing codebases to identify bottlenecks, implementing algorithmic improvements for speed and efficiency, and collaborating with hardware engineers to build next-generation compute infrastructure. You must be adept at handling high-dimensional data and developing robust, scalable software that can process petabytes of scientific and operational data.

spacex Hawthorne, CA, United States

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

Preparing

1850

Question set

280

Duration

Permanent

Focus areas

High Performance Computing (HPC)Distributed SystemsParallel Programming (MPI/OpenMP)C++/FortranPerformance Optimization

People Also Ask (FAQs)

What is the last date to apply for Software Engineer, High Performance Computing?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for Software Engineer, High Performance Computing?

Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.

Is there negative marking in the spacex test?

The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.

What is the passing marks for this test?

The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.

How can I prepare for the Software Engineer, High Performance Computing test?

Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: High Performance Computing (HPC), Distributed Systems, Parallel Programming (MPI/OpenMP), C++/Fortran, Performance Optimization.

Quick start

Review the job summary, then jump into prep with the same flow used for exam starts.

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