Innovative Technology Jobs

841,319 open positions · Updated daily

Innovative Technology is the frontier where artificial intelligence, edge computing, and quantum breakthroughs converge. Companies across finance, healthcare, and manufacturing are actively hiring to accelerate AI‑driven analytics, deploy autonomous edge devices, and secure data with quantum‑resistant protocols. With 1,310 active openings, the demand for talent that can bridge software, hardware, and new‑age security is at an all‑time high.

Key roles include AI/ML Engineers who train and deploy deep learning models on cloud and on‑device platforms; Edge AI Developers who optimize inference for resource‑constrained IoT gateways; Quantum Software Engineers who write circuit‑level code for noisy intermediate‑scale quantum (NISQ) processors; Blockchain Architects who design permissioned ledgers for supply‑chain integrity; and IoT Solutions Engineers who integrate sensor networks with secure cloud backends. Typical responsibilities span algorithm research, model fine‑tuning, low‑latency inference, cryptographic protocol design, and end‑to‑end system integration.

Salary transparency is critical in this niche because it levels the playing field for experts who invest years in niche skills. Knowing the full compensation package—including base, bonus, equity, and benefits—enables candidates to evaluate roles beyond headline titles, negotiate fairly, and make informed decisions about relocation or remote work. Transparent pay data also signals industry maturity and helps employers attract and retain top talent.

Solution Architect-Data Platforms

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

This job description highlights a leadership role in data engineering within IBM Consulting, emphasizing global collaboration, technical expertise in cloud and AI technologies, and leadership in managing complex projects. It outlines requirements for experience in data warehousing, cloud platforms, and team management, positioning the role as impactful and innovative.

Application Developer-Microsoft .NET

Company: IBM

Location: Kolkata, IN

Posted Dec 15, 2025

IBM Consulting offers a career focused on innovation and collaboration with global clients, emphasizing technology expertise and professional growth through strategic partnerships and continuous learning.

Test Analyst / Test Automation Specialist

Company: IBM

Location: Praha, CZ

Posted Dec 15, 2025

This job posting describes a testing team role at IBM Czech Testing Team, outlining responsibilities for test analysis, automation, and collaboration with stakeholders. It specifies requirements including 13 years of experience, technical skills in SDLC, test tools, and soft skills like communication. The position emphasizes quality assurance, continuous improvement, and integration with DevOps practices.

Project Manager-SAP HANA

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This role involves managing complex projects globally, requiring a bachelor's degree and SAP expertise, with travel in India.

Software Engineer - DBaaS Serverless

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This role involves developing cloud-native solutions for IBM's Astra DB platform, requiring expertise in Kubernetes and cloud infrastructure. The team emphasizes innovation and growth opportunities within a collaborative environment.

Application Developer-Microsoft Analytics (PowerBI Engineer)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

This text describes a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients and technical expertise in PowerBI and data modeling. It outlines responsibilities involving dashboard development, data optimization, and leveraging IBM's technology platforms.

Software Engineer, Quality

Company: IBM

Location: Brno, CZ

Posted Dec 15, 2025

This text promotes an IBM Software career opportunity emphasizing innovation, growth, and collaboration. It outlines roles in software development and testing with focus on quality assurance, automation frameworks, and cloud-native solutions. Required skills include Java expertise, CI/CD integration, and cloud technologies, while preferred qualifications highlight advanced degrees and scripting proficiency.

Operations Buyer

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

IBM Finance & Operations drives efficiency and innovation, offering career growth and a collaborative environment for professionals in procurement and operations.

Package Consultant-SAP UX

Company: IBM

Location: Kolkata, IN

Posted Dec 15, 2025

This text describes a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, technical expertise in SAP and mobility platforms, and requirements for experience in enterprise mobility architecture and application development.

Business Transformation Consultant-Manufacturing

Company: IBM

Location: Hsinchu, TW

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on business transformation through technology, collaboration with global clients, and leveraging hybrid cloud and AI solutions. The role emphasizes strategic partnerships, technical expertise, and continuous communication to deliver impactful results for innovative companies.

Infrastructure Specialist-AWS DevOps

Company: IBM

Location: Bhubaneswar, IN

Posted Dec 15, 2025

This job description outlines a role in IBM's consulting delivery centers focusing on IT infrastructure, AWS cloud services, and technical expertise. It lists required and preferred qualifications including education, programming languages, cloud tools, and collaboration skills for a senior technical position.

Supply Chain Professional - Data Analyst

Company: IBM

Location: POUGHKEEPSIE, US

Posted Dec 15, 2025

This text promotes IBM's Supply Chain Organization as a dynamic environment emphasizing continuous learning, technological innovation, and collaborative problem-solving. It highlights opportunities for professional growth, exposure to advanced tools, and impactful contributions to global supply chain optimization.

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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