Software Engineer (Computer materials, Metal and metal alloy simulation, Python or C++, SQL and NoSQL)
WaferWire Cloud Technologies
Location
Redmond, WA | United States
Job description
WaferWire Cloud Technologies is currently seeking a highly skilled and experienced Software Engineer to work on an exciting project.
If you are passionate about science, technology, and the transformative potential of computational materials science? join our team and help shape the future of materials science by developing next-generation solutions for complex materials simulations.
Role: Software Engineer (Computational Material Scientist)
Location: Remote
Job Description:
- Computational Materials Scientist innovations in materials science and chemistry have historically served as the catalyst for groundbreaking technological advancements. The discovery of new materials remains a significant challenge and a key factor in societal progress. At our organization, we're propelling the frontier of computational materials science, harnessing the power of advanced computational tools and methods to enable unprecedented discoveries in this field.
This position offers the opportunity to:
- Work at the cutting edge of computational materials science.
- Collaborate with an exceptional team of engineers, researchers, architects, and leaders who will aid in your professional growth.
We are seeking a computational materials science expert to join our team. In this role, you will collaborate with professionals across a range of disciplines and contribute significantly to the future of materials simulation with our customers and partners.
Typical Day in the Role
- Key projects At this moment projects cannot be shared but is more like computational material science.
- Typical task breakdown and operating rhythm 10% meetings, 90% heads down.
- What makes this role interesting? They will have the opportunity to Cooperate with cross -functional teams to conceptualize and create computational models that tackle material science.
Responsibilities for this role:
- Cooperating with cross-functional teams to conceptualize and create computational models that tackle materials science challenges, specifically focusing on issues related to metals and alloys.
- Prototyping software solutions for complex materials simulations, including those involving various defects.
- Utilizing machine learning potential for molecular dynamics simulations to study the mechanical properties of metals and alloys under various conditions.
- Developing high-quality, well-documented, and maintainable code in either Python or C++.
- Addressing open issues and collaborating with team members during Redmond business hours.
Qualifications for this role:
- Bachelor's degree or higher in Computer Science, Engineering, Materials Science, or a related field.
- Proven experience in computational materials science, with specific experience in machine learning potentials for molecular dynamics simulations.
- Strong background in materials science and metallurgy.
- Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, or similar).
- Strong programming skills Python or C++ and familiarity with related libraries and frameworks.
- Excellent problem-solving and critical-thinking abilities.
- Strong written and verbal communication skills.
- Ability to work independently and collaboratively within a team environment.
Soft Skills:
- Exceptional troubleshooting, analytical and organizational skills.
- Strong written and verbal communication and interpersonal skills.
- Outstanding documentation skills.
- Passion for transformative potential of computational materials science across various industries.
- Eagerness to learn and adapt quickly to new or unfamiliar technologies.
Top 3 Skills:
- Computer materials (5 years)
- Metal and metal alloy simulation (5 years)
- Software engineering experience (4 years)
Job tags
Salary