Jr Computational Research Engineer RD Prototyping Python C

Job Description

Job Description

U.S. Citizenship Required (NOFORN Environment)

About the Role

We are seeking a Junior Software Engineer focused on research and rapid prototyping. This role is ideal for someone who enjoys solving hard technical problems, collaborating directly with senior technical leadership, and building proof-of-concept systems quickly.

This is not a traditional enterprise software role and does not involve production deployment or Dev Ops responsibilities. The work is heavily R&D-oriented and involves close collaboration with the CTO and senior technical staff in a highly interactive environment.

Role Breakdown

• 75% Research / Prototyping
• 25% Development
• 0% Deployment / Production Support

Responsibilities

• Develop rapid software prototypes for advanced technical concepts
• Work directly with the CTO and technical leadership on R&D initiatives
• Participate in whiteboard sessions and collaborative technical problem solving
• Build research-oriented tools and proof-of-concept implementations
• Develop software primarily in Python and C++
• Work in Linux-based development environments
• Maintain source control and collaborative workflows using Git

Qualifications

_ Required_

• B.S. or B.A. in Computer Science, Mathematics, Engineering, or related technical field
• 3–5 years of relevant industry experience
• Strong proficiency in either Python or C++
• Functional working experience in the secondary language
• Strong mathematical and analytical problem-solving skills
• Experience with rapid prototyping and exploratory development
• Linux proficiency
• Git proficiency
• U.S. Citizenship required
• Must be located in or willing to relocate to Minneapolis, MN

Preferred

• Exposure to machine learning, signal processing, or scientific computing
• Experience working in technical R&D environments
• Familiarity with high-performance or low-latency systems
• Comfortable working in fast-moving and ambiguous technical environments

What We’re Looking For

_ We’re looking for engineers who:_

• Enjoy learning and solving difficult technical problems
• Can move quickly from concept to prototype
• Work well in collaborative technical environments
• Are comfortable operating without excessive process or bureaucracy
• Want exposure to advanced R&D work alongside experienced technical leadership

This Role Is Not For Someone Who

• Wants a frontend or web application role
• Prefers highly structured enterprise development environments
• Wants a deployment-heavy or Dev Ops-focused position
• Prefers maintenance work over exploratory engineering and prototyping

CORE VALUES EXEMPLIFICATION A MUST:

Leading with _ ** Transparency
** _ ** Builds Trust** - We believe open and honest communication is paramount in building lasting and impactful relationships, both inside the company and with our customers. We strive to have a high say:do ratio. Delivering on commitments is key for long-term customer relationship, industry reputation, and thriving organizational culture.

Humility ** isn’t thinking less of yourself..it is thinking of yourself less** - We believe asking for help isn’t a sign of weakness or inadequacy but rather a sign that one is always trying to improve and grow. Making mistakes is expected and being vulnerable when we do allows others to grow as teachers and leaders and enables us to grow personally and professionally.

Always be _ ** Hungry
** _ - We believe pioneering requires a certain grit that sees what could be and fuels the pursuit of it. It is passion for the chase that fuels our efforts and drives us to success. Hunger is what separates good from the great.

Better ** ******Together - We believe complex problem solving requires a high-performance team of individuals with a diverse set of backgrounds, talents, skills, and experiences working in collaboration. Together, alongside our customers, we can solve the most challenging problems through innovative solutions.

Company Description

Boon Logic is building the baseline intelligence layer for the physical world: technology that learns what “normal” looks like across complex real-time systems and identifies meaningful deviations without requiring massive labeled datasets, cloud dependency, or constant retraining. We believe the next major…