Solutions Architect

NVIDIA; Helsinki; On-site; EUR 42,000 - 60,000; Full time

Job summary

NVIDIA is launching a 16-month rotation program for newly graduated engineers to become Solution Architects. You will work with experienced teams supporting customers across EMEA, tackling real-world challenges with NVIDIA software and hardware platforms.

During the program you will rotate through customer-facing teams, build prototypes, run hands-on workshops, and learn to translate technical needs into actionable designs.

Qualifications

• MS degree in CS/Engineering or related field required.
• Proficiency in Python and C/C++, with hands-on coding experience.
• Strong analytical mindset and problem-solving abilities.

Responsibilities

• Engage with customers across EMEA to understand technical environments and challenges.
• Design NVIDIA-powered solutions and demonstrate value through hands-on workshops and pilots.
• Lead PoC implementations, document findings, and hand off to production IT teams.
• Collaborate with Sales and Developer Relations to articulate technical value and secure design wins.
• Identify gaps and contribute to product improvements by communicating field insights to engineering.

Skills

MS degree in CS/Engineering

Python

C/C++

English proficiency

Analytical mindset

Education

Master's degree in Computer Science or related field

Tools

CUDA

NVIDIA software platforms

Job description

NVIDIA has been redefining computer graphics and accelerated computing for three decades. Today, we're tapping into the unlimited potential of AI to define the next era of computing. Doing what's never been done before takes vision, innovation, and the world's best talent.

As a new college graduate, our rotation program will team you up with experienced Solution Architects for on-the-job training as you work as part of a team supporting customers building solutions with our newest software and hardware platforms. A Solutions Architect is the first line of technical expertise between NVIDIA and our partners and customers. You will dynamically engage with developers, data scientists, scientific researchers, IT and senior leaders.

You will spend up to 16 months rotating through customer-facing teams supporting different industries such as healthcare, retail, automotive, robotics, etc. In the process, you will have the opportunity to become a specialist in our enterprise products as well as our developer software platforms such as NVIDIA AI Enterprise, CUDA-X and Omniverse. You may also be able to rotate with other departments at NVIDIA. At the end of the program, you will have become a domain specialist on at least one NVIDIA technology and will join a team as a Solution Architect in an area of your choosing.

What you will be doing:

• Engage with customers in academia and industry to understand their technical environment & challenges, design tailored NVIDIA-powered solutions that address their needs and demonstrate value, and gain hands-on field experience through customer visits and on-site engagements across EMEA.
• Be the catalyst driving the adoption and scaling of cutting-edge AI solutions by delivering hands-on workshops, demonstrations, and training sessions using NVIDIA hardware and software, empowering users to become NVIDIA champions.
• Take ownership of proof-of-concept implementations that showcase NVIDIA's capabilities in real customer environments, driving product adoption through technical evaluation, documentation, and handoff into production IT infrastructures.
• Collaborate with Sales Account Managers; Developer Relations Managers and Customers as a trusted technical advisor, helping large enterprises understand the value of NVIDIA and painting the vision for how they can successfully integrate and deploy our solutions, and securing design wins.
• Identify gaps between customer needs and NVIDIA's current offerings, propose and develop prototypical solutions, and communicate requirements directly to NVIDIA Engineering, turning front-line field insights into product improvements that shape our roadmap.

What we need to see:

• Newly graduating with a MS (or equivalent degree) in Computer Science, Engineering, or related field.
• Coursework in Machine Learning, High-Performance Computing, Deep Learning & AI, Data Science or Visual Computing.
• Skilled in 1 or more programming languages (Python, C/C++, etc.).
• Self-driven and analytical, with a natural curiosity for customer problems and the confidence to engage both technical and business audiences.
• Strong collaboration and interpersonal skills, ability to explain technical trade-offs clearly to both technical and non-technical audiences, fluent in English both oral and written.
• Passion for continuous learning and knowledge transfer.

Ways to stand out from the crowd:

• Experience with Deep Learning frameworks, AI harnesses, GPU programming (e.g. CUDA) and/or 3D (i.e. 3D Visualization, Digital Twin, Physical AI concepts and tools).
• Passion for accelerated computing, skills in profiling, analyzing and optimizing code, and/or understanding of system architecture and operations inc. distributed and cloud computing, networking, filesystems, virtualization (e.g. Docker), system and workload management (e.g. Slurm, Kubernetes), etc.
• Outstanding verbal and written communication skills, and an enthusiastic presentation style.

The NCG program is designed to launch your career at full speed - giving you real responsibility, deep mentorship, and the breadth of experience to find where you truly thrive.

All MS graduation requirements must complete in 2026 and the candidate available to start at NVIDIA by January 2027. The candidate must have a working permit for the target location. Newly graduating with a Master's degree (or equivalent) in Computer Science, Engineering, or a related field in 2026, Coursework in Machine Learning, High-Performance Computing, Deep Learning & AI, Data Science or Visual Computing, Skilled in one or more programming languages such as Python or C/C++, Self-driven and analytical mindset with curiosity for customer problems, Strong collaboration and interpersonal skills, Ability to explain technical trade-offs to both technical and non-technical audiences, Fluent in English, both oral and written, Passion for continuous learning and knowledge transfer, Valid work permit for the target location