5251 Cybage Software jobs in New York,NY

Sign-on payments

Restricted stock units (RSUs)

158,100.00 - 213,800.00 USD annually

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D; insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)

401(k) matching

Paid time off

Parental leave

3+ years of non-internship professional software development experience

2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

1+ years of software development engineer or related occupational experience

1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience

1+ years of Object Oriented Design experience

Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field

Experience programming with at least one software programming language

3+ years of relevant, broad engineering experience.

Computer Science core: object-oriented design, data structures, and performance analysis with at least 2 programming languages.

Hands-on technical experience working in the Generative AI space

Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.

Experience in one or more of the following areas: ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization, or alternatively applied math.

3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Bachelor's degree in computer science or equivalent

Bachelor's or Master's degree in computer science or equivalent

2+ years in machine learning or other computational modeling environments with an emphasis on hosting, building or optimizing models for diverse hardware platforms

Proven track record in building AI agents that automate ML workload optimization, ML compiler tuning, distributed inference and training, or ML kernel authoring and optimization

Experience working with open-source software communities in the optimization space or related areas

Domain-level knowledge of AWS services

Knowledge of the state-of-the-art technology used in the Machine Learning space and its mathematical underpinning