Cutting-Edge Technology Jobs

743,346 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.

QA Automation Engineer

Company: IBM

Location: Krakow, PL

Posted Dec 04, 2025

The text describes a career opportunity at IBM Software, focusing on a role as a QA Quality Assurance Test Automation Developer. The position involves designing test plans, executing test cases, and implementing test automation in CICD pipelines. The role requires proficiency in Selenium, Python, API testing, and agile methodologies. It emphasizes collaboration with development teams and delivering quality software products.

SAP Data Lead

Company: IBM

Location: No City, US

Posted Dec 04, 2025

The text describes the role and responsibilities of an SAP Data Migration Lead in IBM Consulting. It highlights the importance of data migration in SAP projects and outlines the key tasks involved, such as project planning, data assessment, stakeholder collaboration, technical execution, testing, documentation, training, compliance, continuous improvement, and leadership. The position requires a bachelor's degree, experience in identifying and solving complex business problems, collaborating with data owners and analysts, working with data architects, and leading technical aspects of SAP Business Intelligence solutions. Preferred experience includes working with specific SAP modules and having expertise in SAP Master Data Governance.

Application Developer-Cloud FullStack

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and opportunities to develop cloud-based applications using advanced technologies. It outlines role responsibilities, required skills, and preferred experiences in areas like Spring Boot, RESTful APIs, and DevOps methodologies.

PROCESS DELIVERY SPECIALIST-LEAD TO CASH

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role as a Process Analyst in the Order to Cash (O2C) domain. The role involves processing accounts receivable, preparing journal entries, reconciling accounts, and meeting client service level agreements. The position requires a bachelor's degree, preferably a master's degree, and experience in enhancing cash application automation and reducing complexity in assigned accounts.

Package Consultant-SAP HANA FIN TR

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on SAP FIN TR modules. It highlights the role's responsibilities, required education, and technical expertise. The position involves working with clients globally, delivering technical expertise, and driving innovation.

.Net Developer

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the collaborative and innovative work environment, opportunities for learning and growth, and the role of an Application Developer with expertise in Microsoft technologies.

Vendor Risk Management Specialist

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

IBM's procurement role emphasizes innovation, digital transformation, and collaboration with clients. The position requires managing compliance, communication, and process optimization while leveraging AI and emerging technologies in a dynamic environment.

PROCESS INNOVATION PROFESSIONAL-RECORD TO REPORT

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

This role involves accounting responsibilities with clients, emphasizing collaboration and career growth opportunities at IBM Consulting.

Data Scientist-Artificial Intelligence

Company: IBM

Location: Mumbai, IN

Posted Dec 04, 2025

The text describes a Senior Lead ML Data Scientist role at IBM Consulting, focusing on end-to-end ML/AI initiatives using the Databricks ML ecosystem and generative AI. The role involves solutioning, presales engagement, delivery execution, GenAI workloads, MLOps governance, and leadership collaboration.

Backend Support Engineer

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 04, 2025

IBM Infrastructure is a catalyst that enables the world to work better by providing hybrid cloud infrastructure to meet clients' demands. The role of a Backend Developer involves leading problem resolution, collaborating with teams, and designing automation tools. Required skills include software development expertise, Linux experience, and problem-solving abilities.

IBM Uruguay Students Program

Company: IBM

Location: MONTEVIDEO, UY

Posted Dec 04, 2025

The text is an introduction to IBM's internship program, highlighting the company's focus on innovation, collaboration, and tackling challenging problems. It outlines the roles and responsibilities of interns, required education, and preferred technical and professional expertise.

SAP ABAP Developer

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 04, 2025

This role involves working as a senior SAP ABAP Developer in IBM Consulting, collaborating with clients to deliver high-quality solutions and act as a trusted business advisor. The position requires expertise in SAP configuration, process knowledge, and experience with SAP S4HANA. Familiarity with cloud computing platforms, Agile methodologies, and industry knowledge are also preferred.

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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