Software Developer - AI Platform Engineering
About The Position
Nasdaq's AI Platform Engineering Team is seeking a skilled and motivated Software Engineer to contribute to the development of cutting-edge AI applications and support the team's innovative projects. • Contribute to the development and implementation of components of Generative AI applications, ensuring code quality, performance, and reliability. • Participate in code reviews and contribute to the team's adoption of best practices in software development. • Collaborate with team members to implement technical requirements and contribute to technical solutions. • Assist in the collection, preprocessing, and curation of datasets for training generative AI models. • Contribute to gathering user feedback and participate in design iterations to enhance usability and satisfaction. • Maintain high code standards through peer code reviews and continuous learning. • Work on solving complex problems faced by the team, under the guidance of senior team members. • Collaborate effectively within geographically dispersed teams. Participate in technical discussions with team members and contribute to documentation efforts.
Requirements
- Skilled in Python, with a good understanding of its ecosystem and best practices.
- Experience with AWS and cloud technologies.
- Proficient with Visual Studio Code and other modern development environments
- Understanding of data structures, algorithms, and software design patterns.
- Working knowledge of software development methodologies (Agile, Waterfall, Lean).
- Understanding of Generative AI concepts, including Large Language Models (LLMs), NVIDIA GPUs, Vector Databases, RAG, and MCP
- Experience with version control systems, particularly Git.
- Good communication skills, able to explain technical concepts to team members.
- Understanding of relational and non-relational databases, SQL, and handling unstructured data.
- Bachelor's degree in Computer Science, Information Systems, Mathematics, or equivalent work experience.
- Degree qualified in a discipline related to Computer Science, Information Systems, or equivalent work experience.
- Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Nasdaq will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
Nice To Haves
- Knowledge of infrastructure-as-code tools like Terraform a plus.
Responsibilities
- Contribute to the development and implementation of components of Generative AI applications, ensuring code quality, performance, and reliability.
- Participate in code reviews and contribute to the team's adoption of best practices in software development.
- Collaborate with team members to implement technical requirements and contribute to technical solutions.
- Assist in the collection, preprocessing, and curation of datasets for training generative AI models.
- Contribute to gathering user feedback and participate in design iterations to enhance usability and satisfaction.
- Maintain high code standards through peer code reviews and continuous learning.
- Work on solving complex problems faced by the team, under the guidance of senior team members.
- Collaborate effectively within geographically dispersed teams.
- Participate in technical discussions with team members and contribute to documentation efforts.
Benefits
- 401(k) program with 6% employer match
- Employee Stock Purchase Program with 15% discount
- Student loan repayment program up to $10k
- Company paid life and disability plans
- Generous paid time off
- Comprehensive medical, dental and vision coverage
- Health spending account with employer contribution
- Paid flex days to support mental wellbeing
- Gym membership discounts
- Hybrid home/office schedule (for most positions)
- Paid parental leave
- Fertility benefits
- Paid bereavement leave
- Company gift matching program
- Employee resource groups
- Paid volunteer days
- Education Assistance Program
- Robust job skills training and Professional development opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
5,001-10,000 employees
