Cutting-Edge Technologies Jobs in Remote

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

Executive Assistant Team Manager - Sales & Marketing

Company: Atlassian

Location: San Francisco, CA / Remote

Posted Feb 03, 2025

App Dev Engineer

Company: Atlassian

Location: Remote

Posted Feb 03, 2025

Workday Senior Functional Consultant

Company: Kyndryl

Location: Bangalore, India / Remote

Posted Feb 03, 2025

Senior Staff Infrastructure Engineer

Company: Equinix, Inc

Location: Bogota, Colombia / Remote

Posted Feb 03, 2025

MuleSoft Application Developer Technical Lead (remote)

Company: Cencora

Location: Remote

Posted Feb 03, 2025

Cencora is seeking a MuleSoft Application Developer Technical Lead to work closely with clients, business analysts, and team members to understand business requirements and design quality technical solutions. The role involves the full systems life cycle, including designing, coding, testing, implementing, and supporting application software. The ideal candidate should have a Bachelor's degree in Programming, Systems, or Computer Science, or equivalent work experience, and at least eight years of application programming and analysis experience. They should possess advanced programming skills in several languages, a deep understanding of relational database design, and experience in leading projects. Cencora offers competitive compensation, benefits, and resources to support a highly inclusive culture, focusing on physical, emotional, financial, and social wellness. The company is committed to providing equal employment opportunities and reasonable accommodations to individuals with disabilities.

NX CAD Implementation Consultant

Company: Siemens Digital Industries Software

Location: Newcastle upon Tyne, United Kingdom / Remote

Posted Feb 03, 2025

Analyst I, Falcon Complete (Hybrid, San Antonio)

Company: CrowdStrike

Location: San Antonio, TX / Remote

Posted Feb 03, 2025

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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