Cutting-Edge Technologies Jobs in New York City, NY

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Looking for Cutting-Edge Technologies jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Cutting-Edge Technologies position in the New York City, NY area.

Retail Associate, FT - Niagara Falls

Company: NIKE, Inc.

Location: Niagara Falls, NY

Posted Jan 23, 2025

NIKE, Inc. is seeking a dynamic and passionate individual to join their team as a Retail Associate. The role involves being the face of NIKE, providing exceptional customer service, and guiding customers in making the best decisions. The company culture thrives on diversity, imagination, and rewarding achievers, leaders, and visionaries. Benefits include discounts on Nike, Converse, and Jordan products, accrued paid time off, holiday pay, and a comprehensive 401(k) plan. The starting hourly rate is $16.50, with full-time opportunities available. The position requires flexibility, a positive attitude, and the ability to work nights, weekends, and holidays.

Risk-Salt Lake City-Vice President-Software Engineering

Company: Goldman Sachs

Location: Salt Lake City, UT

Posted Jan 23, 2025

Goldman Sachs is seeking a VP-level Senior Software Engineer for Risk Engineering. The role involves working on a broad range of applications and technologies, ensuring peak efficiency of the risk data platform, and creating key risk deliverables. The engineer will impact risk management, work with a global team, and utilize technologies like Java, Cloud computing, HDFS, Spark, S3, ReactJS, Sybase IQ, Snowflake, and Tableau. Key responsibilities include performance tuning, statistical analysis, building reports, developing software for risk calculations, interacting with business users, designing batch processes, and potentially overseeing junior team members in the SDLC. The ideal candidate will have 5-10 years of experience in a large financial institution, expertise in risk management functions, strong software development skills, and knowledge of distributed computing.

Software Engineer III, Machine Learning, Google Ads

Company: Google

Location: New York, NY

Posted Jan 23, 2025

Google is seeking a software engineer with a Bachelor's degree or equivalent practical experience, and at least 2 years of experience in software development, data structures, algorithms, and machine learning. Preferred qualifications include a Master's or PhD in Computer Science, experience with performance analysis, large scale systems, and accessibility technologies. The role involves developing next-generation technologies, working on critical projects, and managing project priorities. The salary range is $136,000-$200,000 + bonus + equity + benefits.

Site Reliability Engineer

Company: Thomson Reuters

Location: Mexico City, Mexico

Posted Jan 23, 2025

Sr. Battery Engineer, Rack Power

Company:

Location: Fall City, WA

Posted Jan 23, 2025

R&D Assistant Intern

Company: Trimble

Location: Christchurch, New Zealand

Posted Jan 23, 2025

Applications Specialist

Company: Trimble

Location: Christchurch, New Zealand

Posted Jan 23, 2025

Workday Integration Engineer

Company: Meta

Location: New York, NY

Posted Jan 23, 2025

Meta's People Engineering Team is seeking an Integration Engineer to re-imagine productivity by shipping transformative products for Meta's employees and business groups. The ideal candidate will question common assumptions, rethink existing designs, and see challenges as opportunities for system improvements. The role involves leading the research, design, development, testing, and delivery of new Workday Integrations, partnering with business leaders, and driving an overall data strategy for people-related data. Minimum qualifications include a Bachelor's degree in Computer Science or a relevant field, 8+ years of Workday experience, and at least one full implementation of Workday with demonstrated technical and integration experience.

Frequently Asked Questions

What are the typical salary ranges for Cutting‑Edge Technologies roles at different seniority levels?
Entry‑level AI/ML engineers earn $90k–$120k, mid‑level $120k–$160k, senior $160k–$210k, lead $210k–$260k, and director or VP roles can exceed $260k, especially in quantum research or high‑frequency trading firms. Quantum developers often command $140k–$190k at entry level, scaling to $250k+ for senior architects. Edge AI specialists see similar brackets, with high‑performance computing roles reaching $220k+.
What skills and certifications are typically required in Cutting‑Edge Technologies?
Core programming in Python, C++, and Rust; machine‑learning libraries like TensorFlow, PyTorch, and JAX; quantum toolkits such as Qiskit, Cirq, or Rigetti Forest; edge frameworks like EdgeX Foundry, NVIDIA DeepStream, and TensorRT; and blockchain platforms including Hyperledger Fabric, Ethereum, and Cosmos SDK. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, IBM Quantum Developer, and Certified Blockchain Architect are highly valued.
Is remote work available for Cutting‑Edge Technologies positions?
Yes. Nearly 70% of AI and quantum roles offer full‑remote or hybrid options, especially at SaaS vendors, fintech startups, and research labs. Edge and blockchain positions often require on‑site presence for hardware maintenance, but many companies now provide remote‑first environments with virtual lab access.
What are the career progression paths in Cutting‑Edge Technologies?
Typical paths start with Junior Engineer → Engineer → Senior Engineer → Lead Engineer → Principal Engineer or Technical Fellow. For quantum and blockchain, an engineer can advance to Quantum Architect or Blockchain Lead, then to Director of R&D or Chief Technology Officer. Continuous learning through advanced degrees, specialized certifications, and contributions to open‑source projects accelerates promotion.
What industry trends are shaping the future of Cutting‑Edge Technologies?
AI is moving toward federated learning and explainable AI, increasing demand for privacy‑preserving models. Quantum computing is transitioning from academic prototypes to commercial QPU services, boosting roles in error‑correction and algorithm design. Edge AI is expanding with 5G and IoT, driving real‑time inference on low‑power devices. Blockchain is shifting from payment networks to interoperable smart‑contract ecosystems and decentralized identity solutions.

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