Innovative Technology Jobs in Remote

266,277 open positions · Updated daily

Looking for Innovative Technology jobs in Remote? Browse our curated listings with transparent salary information to find the perfect Innovative Technology position in the Remote area.

SR SALES EXECUTIVE, NEW LOGO

Company: UKG

Location: Lexington, KY / Remote

Posted Feb 03, 2025

Senior Staff Infrastructure Engineer

Company: Equinix, Inc

Location: Bogota, Colombia / Remote

Posted Feb 03, 2025

Advisory Principal, Artificial Intelligence

Company: Atlassian

Location: New York, NY / 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.

Infrastructure Support Engineer

Company: hims & hers

Location: Delaware, OH / Remote

Posted Feb 03, 2025

Bid Manager

Company: Hitachi Energy

Location: Remote

Posted Feb 03, 2025

Principal Regional Sales Manager - Mexico

Company: Cornerstone OnDemand

Location: Río Grande, Mexico / Remote

Posted Feb 03, 2025

Senior Software Engineer I - DevOps

Company: Sumo Logic

Location: Noida, India / Remote

Posted Feb 03, 2025

Frequently Asked Questions

What are typical salary ranges for Innovative Technology roles by seniority?
Entry‑level AI/ML Engineers earn $80,000–$110,000 annually. Mid‑level specialists ($110k–$150k) add responsibilities in model optimization and deployment. Senior engineers ($150k–$200k) lead cross‑functional projects and mentor juniors. Lead or Principal roles ($200k–$250k+) include strategic product ownership, research direction, and equity compensation.
Which skills and certifications are most sought after in Innovative Technology?
Core programming in Python, PyTorch, or TensorFlow; cloud expertise (AWS Certified Machine Learning, Azure AI Engineer Associate); edge‑AI frameworks (EdgeX Foundry, TensorRT); IoT protocols (MQTT, CoAP); security certifications (CompTIA Security+, CISSP); and quantum‑specific credentials such as IBM Quantum Developer or Qiskit certification. Proficiency in containerization (Docker, Kubernetes) and CI/CD pipelines is also essential.
How common is remote work for Innovative Technology positions?
Over 70% of listings allow fully remote or hybrid arrangements. Companies prioritize distributed teams to tap global talent pools, especially for AI research, quantum software, and IoT architecture. Remote roles often require strong asynchronous communication skills and adherence to strict security standards.
What career progression paths exist within Innovative Technology?
Typical trajectories start at Junior Engineer → Software Engineer → Senior Engineer → Lead Engineer → Principal Engineer or Research Scientist. Parallel paths include Product Manager for AI solutions, Technical Program Manager for cross‑domain projects, or Enterprise Solutions Architect focusing on edge‑AI deployments. Advancement is driven by demonstrable impact on model performance, system scalability, or security architecture.
What industry trends are shaping the Innovative Technology job market?
Key trends include AI governance and explainability frameworks; edge‑AI scaling for real‑time analytics; quantum‑resistant cryptography adoption; IoT security standards (e.g., NIST IoT Cybersecurity Framework); and the convergence of 5G with low‑latency edge computing. Companies are investing in hybrid cloud‑edge infrastructures and building AI‑enhanced supply‑chain visibility platforms.

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