Cutting-Edge Technologies Jobs

417,975 open positions · Updated daily

Artificial intelligence, quantum computing, edge AI, and blockchain are reshaping industries, driving a surge in demand for specialists who can innovate and scale solutions. Companies from fintech to healthcare are investing billions to secure early‑mover advantages, creating a competitive marketplace where experience in TensorFlow, Qiskit, and edge‑device orchestration is highly prized.

Key positions include AI/ML engineers building real‑time recommendation models, quantum algorithm developers crafting fault‑tolerant circuits in Qiskit or Cirq, edge AI architects deploying inference pipelines on NVIDIA Jetson or Raspberry Pi clusters, and blockchain architects designing permissioned ledgers with Hyperledger Fabric. These roles typically involve cross‑functional collaboration with data scientists, DevOps teams using Kubernetes, and security analysts to ensure compliance.

For professionals in these fast‑moving fields, transparent salary data is critical. It enables you to benchmark your value against peer companies, negotiate equity in early‑stage startups, and spot emerging hubs where quantum‑ready talent earns premium compensation. Without clear numbers, you risk accepting roles that under‑compensate for the high expertise required to stay ahead.

Engineering Operations Analyst

Company: Qualcomm

Location: San Diego, CA

Posted Oct 07, 2025

Explore and apply 3rd-party AI and agentic systems such as Microsoft Copilot custom agents, Tableau AI, and other emerging tools to enhance engineering…

Lead Software Development Engineer, Consumer Domains

Company: Audible

Location: Newark, NJ

Posted Oct 07, 2025

Collaborate with stakeholders to imagine, design, develop, test, and launch scalable and maintainable software that impacts our customers and inspires your…

MARKETING MANAGER

Company: Eurest

Location: Elmhurst, IL

Posted Oct 07, 2025

Holiday Time Off (varies by site/state). Associates may also be eligible for paid and/or unpaid time off benefits in accordance with applicable federal, state,…

AI Software Engineer

Company: Zoom

Location: Seattle, WA

Posted Oct 07, 2025

Familiarity with cloud platforms (AWS, GCP, Azure) and AI deployment tools (Docker, Kubernetes, MLflow). Non-accommodation-related requests, such as application…

Machinist CNC & Manual Lathe III

Company: Consarc

Location: Rancocas, NJ

Posted Oct 07, 2025

Proven ability to read and interpret blueprints and technical drawings. Interpret complex blueprints, drawings, and technical documentation.

Senior Machine Learning Engineer - AI Research (PhD)

Company: General Motors

Location: Mountain View, CA

Posted Oct 07, 2025

Y o u will actively participate in the design, prototyping, and deployment of state-of-the-art AI models with direct application to vehicle design,…

People Data Analyst

Company: onsemi

Location: Scottsdale, AZ

Posted Oct 07, 2025

Experience initiating and driving projects to completion with minimal guidance. Utilizing data science methodologies, HR industry knowledge to interpret or…

Senior Associate, AI Engineer

Company: KPMG

Location: San Diego, CA

Posted Oct 07, 2025

Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field; Master's degree from an accredited…

Senior Application Developer (Mobile React)

Company: Brinks Home

Location: Dallas, TX

Posted Oct 07, 2025

Familiarity with modern front-end build pipelines and tools. Design and develop mobile applications using React Native.

Graphics Technologist

Company: Robert Half

Location: New York, NY

Posted Oct 07, 2025

Research and evaluate the latest design tools, technologies, and advancements in Adobe Creative Cloud to enhance production processes.

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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