Cutting-Edge Technology Jobs

743,241 open positions · Updated daily

Artificial intelligence, quantum computing, and edge‑compute platforms are driving the next wave of innovation. Startups and Fortune 500s alike are hiring engineers, data scientists, and hardware specialists to accelerate product pipelines, leading to a 35% year‑over‑year growth in open positions across the sector.

Typical roles include AI/ML engineer, quantum algorithm developer, edge‑device firmware architect, blockchain infrastructure lead, and autonomous systems tester. Responsibilities span building scalable models, designing low‑latency inference pipelines, optimizing quantum circuits, securing distributed ledgers, and validating sensor fusion algorithms.

Salary transparency is critical because cutting‑edge talent must negotiate for tools, research budgets, and equity that match the high skill cost. Knowing exact pay ranges for each seniority level helps professionals target roles that reward their expertise and avoid underpayment.

OpenSearch Engineer

Company: IBM

Location: San Jose, US

Posted Dec 10, 2025

This job description highlights IBM's commitment to innovation in AI-powered cloud-native solutions, emphasizing opportunities for growth, collaboration with open-source projects, and expertise in software engineering. The role involves developing features for DataStax AI PaaS and contributing to OpenSearch projects, requiring strong technical skills in Java, distributed systems, and cloud technologies.

Application Developer-Cloud FullStack

Company: IBM

Location: Pune, IN

Posted Dec 10, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and technical expertise in software development. It outlines role responsibilities, required skills in Java and microservices, and the importance of strategic partnerships for client impact.

Package Consultant-SAP FIN CO

Company: IBM

Location: BANGALORE, IN

Posted Dec 10, 2025

This job description outlines a role in IBM Consulting focused on hybrid cloud and AI initiatives, requiring technical expertise in SAP systems and collaboration with global clients. Responsibilities include system configuration, defect resolution, and testing, with qualifications emphasizing SAP S4HANA experience and technical consulting skills.

Software Engineer II - HashiCorp Terraform

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

This job description highlights opportunities to work on innovative cloud solutions with IBM's Terraform team, focusing on infrastructure management, customer outcomes, and professional growth. The role involves full-stack development, architectural decisions, and collaboration on cutting-edge technologies.

Application Developer-Oracle Cloud Reports

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 10, 2025

IBM Consulting offers career opportunities focused on client collaboration, innovation, and technical expertise. The role requires skills in Oracle Cloud reporting and problem-solving, with a culture emphasizing growth and creativity.

Package Consultant-Oracle SCM Cloud

Company: IBM

Location: Pune, IN

Posted Dec 10, 2025

This role involves collaborating with global clients to solve complex business challenges using IBM's technologies, requiring expertise in Oracle Cloud and project management skills.

Application Developer-Azure Cloud Modernization

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

This text describes a GenAI Engineer role at IBM Consulting, emphasizing collaboration with clients, innovation in hybrid cloud and AI, and the opportunity to design cutting-edge solutions using Azure AI and Foundry platforms. It outlines responsibilities, required skills, and preferred experiences for the position.

Data Engineer-Data Platforms-Azure

Company: IBM

Location: BANGALORE, IN

Posted Dec 10, 2025

This role involves working in IBM's delivery centers to deliver technical expertise and drive innovation. Responsibilities include data analysis, predictive modeling, and collaboration in Agile teams using tools like Python and Spark. Required skills include Azure Databricks, SQL, and ETL tools.

SAP ABAP Developer (HANA)

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and technical expertise in SAP HANA development. It outlines role responsibilities, required skills, and professional growth opportunities within IBM's ecosystem.

Manager, HashiCorp Security Governance, Risk, and Compliance

Company: IBM

Location: BANGALORE, IN

Posted Dec 10, 2025

This job description highlights a Security GRC Manager role at IBM, emphasizing opportunities to lead a high-performing team, contribute to cloud-native solutions, and ensure compliance with security frameworks. The position requires expertise in GRC operations, people management, and familiarity with certifications like SOC 2 and ISO 27001.

Professional Services Sales Consultant (f/m/x)

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

This job description highlights a career opportunity at IBM Software focusing on innovation, team collaboration, and professional growth. The role emphasizes transforming customer challenges into industry-leading solutions, with a strong emphasis on cloud-native AI technologies and global career opportunities. Responsibilities include sales pipeline management, customer engagement, and solution architecture, requiring expertise in technology sales and cross-functional collaboration.

Application Developer-Oracle Cloud Reporting

Company: IBM

Location: Hyderabad, IN

Posted Dec 10, 2025

The text describes a consultant role at IBM Consulting, emphasizing technical expertise, client collaboration, and innovation in delivering solutions. It outlines responsibilities such as developing user-centric solutions, managing risks, and ensuring timely delivery. Required qualifications include experience with Oracle technologies and cloud implementations, while preferred skills involve advanced technical training and integration expertise.

Frequently Asked Questions

What are typical salary ranges by seniority for Cutting‑Edge Technology roles?
Entry‑level AI/ML engineers earn $90k–$120k, mid‑level $120k–$160k, senior $160k–$210k, and principal/lead roles $210k–$280k. Quantum developers follow a similar scale but start at $110k–$140k, mid at $140k–$190k, and senior at $190k–$250k, often with a 10%–15% equity component.
Which skills and certifications are most demanded in this category?
Core languages: Python, C++, Rust, and Q# for quantum. Frameworks: TensorFlow, PyTorch, JAX, and Qiskit. Cloud expertise: AWS SageMaker, Azure AI, and GCP Vertex. Certifications: TensorFlow Developer, AWS Certified Machine Learning – Specialty, IBM Quantum Developer, and Certified Blockchain Developer (CBDE). Hands‑on projects on Kaggle, Hackathon participation, and published research elevate a candidate’s profile.
Is remote work common for Cutting‑Edge Technology positions?
Yes. Over 70% of listed roles offer full‑remote or hybrid options. Companies provide cloud‑based development environments, virtual lab access for quantum simulators, and remote‑first collaboration tools (e.g., GitHub Codespaces, JupyterHub, and Discord/Slack). Support for home‑office budgets and flexible schedules is standard.
What career progression paths exist in this field?
Technical tracks: Junior → Mid → Senior → Principal → Staff Engineer. Managerial tracks: Team Lead → Engineering Manager → Director of Engineering → VP of Technology. Lateral moves to product, data science, or research labs are common. Clear performance metrics, mentorship programs, and promotion criteria are published on job listings.
What industry trends should candidates monitor in Cutting‑Edge Technology?
Quantum advantage is moving from simulation to real‑world problem solving, demanding expertise in error correction and hardware‑software co‑design. Edge AI is expanding into autonomous drones and IoT, requiring low‑power inference and on‑device learning. AI democratization tools (AutoML, LLM fine‑tuning) lower barriers but increase demand for model governance. 5G and edge computing convergence fuels new network‑edge AI services.

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