Solutions Architect, Financial Services Capital Markets

Description

The financial services solution architect team is hiring a standout candidate to join a group of experienced quants and data scientists. The team shows the finance industry what full-stack accelerated computing can do in practice.

You will work with leading minds at capital markets and exchange firms to speed up high-performance computing and AI workloads across a range of use cases. The team wants someone curious, diligent and inventive who enjoys solving hard problems.

Responsibilities

• Work with the company's engineering, product and sales teams to win design wins at customers. Feed customer feedback and proof-of-concept results back into product features.
• Run proof-of-concepts alongside clients, engineers and other architects. Analyze, profile and optimize machine learning and deep learning models so they perform well on current and next-generation GPU architectures.
• Work directly with client ML researchers and developers on workflows, projects and issues that matter to their business, using the company's technology to get results.
• Resolve customer issues quickly and keep customer satisfaction high.
• Create notebooks and blog posts for finance use cases such as ML and DL, recommender systems, graph neural networks, Monte Carlo simulations and quantitative finance, working closely with customers.

Requirements

• An MS or PhD in computer science, electrical or computer engineering, physics, mathematics or another engineering field, or equivalent experience.
• 5+ years as an ML or software engineer, with a proven record of writing Python and C++ code.
• Experience with ML and DL algorithms in frameworks such as PyTorch, Spark, Dask, JAX and TensorFlow.
• Ability to explain ideas and share code clearly through blog posts and GitHub.
• Comfortable working across engineering, research, product, sales and marketing teams at every level.
• Strong verbal and written communication and technical presentation skills.
• Self-directed, eager to grow, keen to keep learning and willing to share findings across the team.
• Experience deploying ML and DL models at scale in production, on public cloud and/or on-prem HPC clusters.
• Preferred: C/C++ proficiency with a grasp of software design, programming techniques and algorithms, plus experience with performance optimization.
• Preferred: familiarity with the company GPU architectures.
• Preferred: GPU development experience with the company CUDA-x libraries, cuBLAS and cuDNN.
• Preferred: knowledge of MLOps technologies such as containers, data center deployments and cluster management software.
• Preferred: experience working with enterprise developers building HPC or data analytics applications.

Conditions

Base salary depends on location, experience and other objective job-related factors. The expected base salary range is 152,000 USD to 241,500 USD.

Applications are accepted at least until November 3, 2026. This is an existing vacancy.

The company uses AI tools in parts of its recruiting process.

The company is an equal opportunity employer and does not discriminate on any basis protected by law, including in hiring and promotion.

Benefits

• The company is widely seen as one of the most desirable employers in technology, with forward-thinking, hardworking colleagues. Creative, autonomous people are encouraged to apply.