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.

金融業界向け Application Architect

Company: IBM

Location: Tokyo, JP

Posted Dec 09, 2025

IBM Consulting offers roles in hybrid cloud and AI projects, emphasizing collaboration, innovation, and professional growth with clients globally. The position involves managing IT projects, ensuring quality delivery, and leveraging technology platforms to drive digital transformation for financial industry clients.

Data Engineer-Data Platforms

Company: IBM

Location: Hyderabad, IN

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting involving cloud application development, technical leadership, and expertise in AWS, Java, and container technologies. It specifies educational requirements and preferred skills for developers working on client projects.

Data Scientist - Public Sector

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM CIC offers career growth, training, and a supportive environment with opportunities for innovation and professional development.

Software Engineering Intern 2026

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM seeks innovative software developers to drive technological advancements, focusing on EDA tools and collaborative problem-solving in cutting-edge projects. The role emphasizes impactful work with industry-leading products, requiring expertise in programming, algorithms, and digital design while fostering teamwork in agile environments.

Backend Developer

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a Backend Developer role at IBM's Z Hyper Protect Servers team, focusing on innovative solutions, agile development, and collaboration with customers. Required skills include Linux, Python, Golang, and cloud technologies, with a strong emphasis on quality and teamwork.

Software Engineer - OpenSearch

Company: IBM

Location: Kochi, IN

Posted Dec 09, 2025

IBM seeks software engineers to develop AI PaaS solutions using OpenSearch and Cassandra, collaborating with open-source communities. The role requires expertise in Java, distributed systems, and cloud technologies, with opportunities for growth and innovation.

Software engineer (With focus on Testing)

Company: IBM

Location: Brno, CZ

Posted Dec 09, 2025

The text promotes IBM's Software career opportunities, emphasizing innovation, collaboration, and growth. It highlights roles in developing high-quality software solutions, working with advanced technologies, and contributing to leading AI-powered cloud-native products. The job description focuses on teamwork, rigorous quality standards, and technical expertise in testing and development.

Master@IBM: Hardware Verification (f/m/x)

Company: IBM

Location: Ehningen, DE

Posted Dec 09, 2025

The text promotes IBM's MasterIBM study&work program, highlighting opportunities to combine a Master's degree with hands-on experience at IBM, financial support, career growth, and innovative project topics like AI-driven project management and cloud-based simulations.

Application Consultant - ServiceNow

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM CIC offers extensive career growth opportunities, supportive work environments, and comprehensive benefits including training programs, flexible working arrangements, and career development resources. The role emphasizes innovation, client collaboration, and technical expertise in ServiceNow implementations.

AI Application Architect

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with clients, innovative systems design, and expertise in data architecture. It outlines required skills in cloud platforms, machine learning, and generative AI, highlighting opportunities for impactful work with global clients.

Package Consultant-SAP HANA FIN CO

Company: IBM

Location: Noida, IN

Posted Dec 09, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, technical expertise in SAP systems, and opportunities to drive innovation in hybrid cloud and AI solutions. It outlines role responsibilities, required education, and technical skills needed for the position.

Data Scientist - Public Sector

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text highlights IBM CIC's career opportunities, emphasizing growth, innovation, and a supportive work environment with benefits like training programs, flexible working, and diverse projects. It showcases a positive culture focused on client impact and professional development.

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.

Related Pages