Evergreen Rising Stars in Scientific Computing

Flexcompute Inc.; City of Watertown (NY); On-site; USD 75,000 - 95,000; Full time

Benefits offered by this job

Competitive salary

Meaningful equity in early-stage startup

401K contribution

Health insurance

Job summary

Join Flexcompute's 'Rising Stars in Scientific Computing' program, where recent graduates in Engineering, Physics, Mathematics, or Computer Science will be mentored by senior staff. Dive into exciting projects in physics computing and infrastructure development, and gain expertise in high-demand areas while enjoying competitive salaries and valuable startup equity.

Qualifications

• Recent graduate or graduating student in relevant fields.
• Exceptional C++ programming skills or contributions to open source projects.
• Familiarity with numerical methods, MPI, OpenMP, CUDA is a plus.

Responsibilities

• Develop algorithms for physics simulation across various domains.
• Optimize GPU computing systems and manage large-scale scientific data.

Skills

C++

Programming

Algorithms

Education

Bachelor's degree in Engineering, Physics, Math, or Computer Science

Master's degree or PhD in an applicable technical field

Tools

git

Linux command line

Job description

Flexcompute, a dynamic tech startup recognized for its leadership in scientific computing, is proud to launch our new initiative, "Rising Stars in Scientific Computing". Our team, with roots in MIT and Stanford, is backed by top-tier venture capitalists. Our products are trusted by Fortune 500 companies, innovative startups, and university researchers around the world. Based in Boston, MA, we're seeking full-time, in-office candidates ready to dive into the world of scientific computing.

The program, running from 2024 through 2026, is designed to enlist ten exceptional recent graduates from the fields of Engineering, Physics, Mathematics, or Computer Science. These recruits will grow into the core part of our technical team, driving our company's growth into the 2030s. You will be paired with a senior technical staff member who will serve as your mentor. Working closely with one of the best engineers and scientists in the world of scientific computing, you will learn and grow quickly. From day one, you will work on challenging technical problems, from analyzing stubborn divergence to untangling complex system coupling, from streamlining workflow to optimizing GPU efficiency, from multi-physics to multi-scale. These challenges are not suitable for everyone. But if you are ambitious, motivated, and prepared to make a significant impact in the field of scientific computing, you will find them immensely rewarding.

Immediate Responsibilities:

1. Physics computing: Develop algorithms and software for physics simulation in electromagnetics, photonics, fluid dynamics, thermal and structural analysis.
2. Infrastructure computing: Develop algorithms and software to deliver exceptional computing experiences. This includes optimizing efficiency of GPU computing systems, management and visualization of high-volume large-scale scientific data, geometry handling and computing, AI for scientific computing, and next-generation workflow optimization.

Growth Trajectory in 3 years:

1. Respected experts in computational electromagnetics, fluid dynamics, thermal and structural analysis.
2. Senior frontend or backend developers.
3. Elite HPC specialists.
4. Emerging software architects.
5. Dynamic engineering managers.
6. Creative product managers.
7. Persuasive marketers.
8. Result-driven technical sales.

Required Qualifications:

1. Recent graduate or graduating students in Engineering, Physics, Math, or Computer Science.
2. Exceptional programming skills in C++. (The lack of C++ skills can be offset by a proven record of extensive contribution to open source projects in other programming languages.)

Preferred:

• Strong background in Electromagnetics, Photonics, Computational Geometry, Fluid Mechanics, Structural Mechanics, Aeroacoustics, Conjugate Heat Transfer, or adjacent fields.
• Familiarity with numerical methods for solving large scale partial differential equations.
• Master degree or PhD in an applicable technical field with 0-3 years of industry experience.
• Familiarity with version control systems such as git and the Linux command line.
• Familiarity with MPI, OpenMP, CUDA.

Join our "Rising Stars in Scientific Computing" program and seize the unique opportunity to work with leading experts in the field of scientific computing. Be part of a company that is pushing the boundaries of innovation. Apply today!

Competitive salary

Meaningful equity of early-stage startup

401K contribution

Health insurance