Top Software Engineer Jobs in Buffalo, NY

Responsible for developing innovative and practical Generative AI applications for Tempus product line. Collaborate cross-functionally with other teams to understand needs and requirements. Conduct research and exploration of generative AI techniques, with a specific emphasis on healthcare applications. Design and implement generative AI models tailored for healthcare scenarios. Collaborate with domain experts, clinicians, and researchers to validate and refine the models' outputs.

Lead the technical design and development of software solutions, propose & design solutions for complex business needs, facilitate problem resolution, provide technical guidance, and apply modern methodologies to advance business initiatives.

Lead a team of Technical Sales Consultants to increase revenue and closed/win ratios by bringing expertise in cash flow cycles, working capital, and financial products. Collaborate with other teams to meet client needs, conduct market research, deliver demonstrations, build relationships, and ensure team performance.

Seeking an experienced Senior Distinguished Engineer, AI Systems, to help build enterprise AI capabilities. Responsibilities include designing robust infrastructure, building large-scale training clusters, deploying ML models, and supporting AI research and development. Requires at least 7 years of experience in distributed computing and ML systems, proficiency in Python and C/C++, and experience with AI and ML frameworks in public cloud.

Seeking an experienced Senior Distinguished Engineer, AI Systems to help build the foundations of enterprise AI capabilities. Responsibilities include designing and building robust infrastructure, deploying machine learning models, and supporting AI research and development. Preferred qualifications include a master's degree or PhD, experience with large-scale distributed platforms, and familiarity with cloud environments.

Design and build infrastructure for large-scale AI systems, including fault-tolerant infrastructure, ML model serving, and training clusters. Develop applications leveraging AI techniques. Support the ML development lifecycle and implement MLOps capabilities.

Lead feature development for community engagement, scorekeeping, and team management in the Coach Crew team. Develop native iOS features using Swift and other modern technologies. Collaborate with cross-functional teams on architectural decisions and code reviews. Mentor team members and promote responsible engineering practices.

Collaborate with tech leads and content creators to improve workflows and efficiency, implement feature content, review and streamline codebase, work in an Agile environment, and produce clean and efficient code conforming to coding standards.

Design and implement novel and innovative gameplay mechanics for a multiplayer character-action game. Collaborate with creative and engineering teams to create robust systems. Responsible for prototyping game modes, networking, and player progression systems.

The Account Executive SMB will be responsible for selling R365 Accounting and Operations Platform to 1 to 8 location restaurant groups. They will work closely with the Regional Sales Manager and Sales Development team to identify and sell into new accounts, generate pipeline, and close deals. Strong communication and presentation skills, as well as the ability to build relationships and problem-solve, are essential for success in this role. A bachelor's degree is strongly preferred.

As an Account Executive SMB, you will be responsible for selling R365 Accounting and Operations Platform to 1 to 8 location restaurant groups. Your role will involve generating new accounts, selling on value and return on investment, and maintaining long-lasting business relationships. You will also need strong presentation skills, interpersonal and communication skills, negotiation skills, and time management skills.

Join Restaurant365 as a Senior Data Engineer and lead the execution of the enterprise data lake, data warehouse, and analytic solutions. Partner with business and technical stakeholders to design, build, and monitor data pipelines and transformations, and ensure data quality and integrity.