GPU Compute Software Developer

Nordic Investin Group • Stockholm, ME

9h

About The Position

Nordic Investin is recruiting a GPU Compute Software Developer on behalf of a partner company strengthening its capability in accelerated software for data-intensive calculation and simulation. The role connects C++, CUDA and parallel algorithms, with disciplined profiling and numerical validation. Its aim is to make practical progress that colleagues can use, leaders can evaluate and the organisation can sustain.

The environment values early questions, visible trade-offs, engineering discipline, and designing for security and operability. The developer will work with product, architecture, security, operations and domain colleagues, using short feedback loops, evidence from real systems and direct communication. The role calls for solid delivery experience and broader ownership: making trade-offs visible, recognising when wider expertise is needed, and moving work forward without unnecessary process.

The role offers meaningful ownership and the opportunity to influence the solution, related decisions, priorities and success measures. The exact partner, employment model, compensation, start date and working arrangement will be explained during the recruitment process.

Requirements

• Relevant experience delivering accelerated software for data-intensive calculation and simulation in a demanding environment.
• Strong working knowledge of C++ and CUDA.
• Practical experience applying parallel algorithms and profiling.
• Ability to assess priorities, risks and trade-offs involving numerical validation.
• Evidence of clear stakeholder communication and dependable end-to-end ownership.
• Professional English and the judgement to work with sensitive or business-critical information.

Nice To Haves

• Experience in scientific computing, industrial simulation or AI infrastructure.
• Exposure to Linux in a cross-functional or multi-team environment.
• Swedish language skills or experience working across Nordic organisations.
• A background in product engineering, platform work, enterprise technology or consulting, with technical depth connected to user and business consequences.
• Adjacent experience demonstrating transferable judgement.

Responsibilities

• Own the practical direction for accelerated software for data-intensive calculation and simulation.
• Translate goals and constraints into a clear approach for C++ and CUDA.
• Establish useful standards, routines or decision artefacts around parallel algorithms.
• Coordinate stakeholders and dependencies affecting profiling.
• Use evidence and measurable outcomes to improve numerical validation.
• Strengthen knowledge sharing and sustainable ownership through Linux.
• Work with product, architecture, security, operations and domain colleagues.
• Make trade-offs visible, identify when a decision needs wider expertise, and move work forward without unnecessary process.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed