Cutting-Edge Solutions Jobs

794,282 open positions · Updated daily

Cutting‑Edge Solutions roles are driving the next wave of technology, from AI‑powered edge inference to quantum‑accelerated data pipelines. Demand is soaring as enterprises push analytics to the device, deploy autonomous systems, and secure decentralized ledgers.

Typical positions include ML engineers building TensorFlow models for real‑time inference, edge AI developers optimizing ONNX graphs on NVIDIA Jetson, blockchain architects designing Hyperledger Fabric networks, quantum software engineers using Qiskit for error‑corrected algorithms, and IoT integrators deploying secure MQTT stacks on AWS IoT Core.

Salary transparency is critical in this high‑skill field; it allows talent to benchmark their worth against cutting‑edge benchmarks, reduces hiring friction, and builds trust with companies that value rapid innovation.

Systems Architect - Filesystems / NFS

Company: Hammerspace

Location: Remote

Posted Dec 02, 2025

Hammerspace's Data Platform offers high-throughput, low-latency storage solutions for AI and high-performance computing, enabling faster data access and improved productivity. The company seeks a System Architect to lead next-generation filesystem and NFS development, emphasizing innovation, collaboration, and technical leadership in a fast-paced startup environment.

Machine Learning Engineer

Company: Gametime United

Location: Remote

Posted Dec 01, 2025

The Machine Learning team is responsible for designing, developing, and deploying cutting-edge AIML solutions, owning the full lifecycle from ideation to production. The role involves working closely with the ML Platform and Data Science teams to maximize the impact of ML across every area of the business. Key responsibilities include designing and implementing AIML solutions, taking end-to-end ownership of the machine learning lifecycle, driving business impact, leveraging and contributing to the ML platform, setting technical standards, and evangelizing ML throughout the organization.

Software Engineering Manager - Sustaining Engineering

Company: Canonical

Location: Remote

Posted Dec 01, 2025

Canonical is a leading provider of open source software and operating systems. They are hiring an Engineering Manager for Sustaining Engineering to lead a distributed team and improve various open source software. The role offers a rewarding career working with the best people in technology.

Software Developer (Backend SaaS)

Company: Canonical

Location: Remote

Posted Dec 01, 2025

Canonical is a leading provider of open source software and operating systems. They offer a rewarding career for software engineers passionate about open source, Linux, Python, and web services. Landscape, their management tool, is used to deploy, monitor, and manage fleets of Ubuntu systems.

Risk Partnerships Manager - Banks & Treasury

Company: Stripe

Location: Remote

Posted Dec 01, 2025

Stripe is a financial infrastructure platform that enables businesses to accept payments, grow revenue, and accelerate new business opportunities. The Risk Partnerships team is responsible for building and maintaining relationships with key partner banks to manage risk for Stripe's business activities. The role involves collaborating with global financial partners to develop and deliver solutions that build Stripe's Global Payments and Treasury Network, while enhancing risk management interactions and executing high-impact initiatives.

Software Platform Engineering Manager - Ubuntu for Next-Gen Silicon

Company: Canonical

Location: Remote

Posted Dec 01, 2025

Canonical is a leading provider of open source software and operating systems, with a focus on enterprise initiatives such as public cloud, data science, AI, and IoT. The company is founder-led, profitable, and growing, with a globally distributed team. They are hiring engineering managers to lead teams and optimize Ubuntu for various hardware platforms, with a focus on open source technologies and cutting-edge hardware.

Partnerships Account Executive

Company: Array

Location: Remote

Posted Dec 01, 2025

Array is a financial innovation platform that helps digital brands, financial institutions, and fintechs deliver consumer products faster. They offer credit and identity monitoring tools, privacy protection, and a financial ads marketplace. The company is remote-first, focused on high-performing individuals, and seeks a seasoned Partnership Account Executive to drive revenue growth through strategic partnerships.

Linux devices software engineer - snapd

Company: Canonical

Location: Remote

Posted Dec 01, 2025

Canonical promotes itself as a leading open-source provider with a globally recognized platform, offering innovative roles in Linux development and emphasizing collaboration, growth, and global opportunities.

Staff DevOps Engineer

Company: Netwrix

Location: Remote

Posted Dec 02, 2025

The job posting is for a Senior DevOps Engineer Azure role. The position involves designing, automating, and maintaining Azure cloud infrastructure. The ideal candidate should have experience with Azure, Terraform, Helm, CICD pipelines, monitoring, logging, security, and compliance. The role requires on-call shifts and flexibility in working across different time zones.

Release Train Engineer - Manager

Company: Blackbaud

Location: Remote

Posted Dec 02, 2025

The Product & Technology Group at Blackbaud is seeking a Scaled Agile Framework Release Train Engineer with people management experience. The role involves overseeing delivery for Agile Release Trains, planning and facilitating SAFe events, managing backlog priorities, coaching teams, and leading a team of agile PMO professionals. The ideal candidate should have experience in cloud-based software development, people management, and leading large ARTs. Blackbaud offers a dynamic role, opportunities for growth, and a flexible remote work culture.

Senior Manager Market Access Pricing and Analytics

Company: Abbott

Location: Remote

Posted Dec 02, 2025

Abbott promotes a positive work environment with extensive benefits, career growth, and global healthcare innovation opportunities.

Staff Data Scientist, Inference - Customer Support

Company: Airbnb

Location: Remote

Posted Dec 01, 2025

The text describes a Staff Data Scientist role at Airbnb's Customer Support team, focusing on causal inference and experimentation to improve customer support experiences. The role involves building segmentation models, determining allocation strategies, measuring long-term impact, guiding experimentation, and providing strategic insights. The ideal candidate should have 9+ years of experience, strong fluency in Python and SQL, familiarity with causal inference and experimentation, and excellent communication skills.

Frequently Asked Questions

What are typical salary ranges by seniority in Cutting‑Edge Solutions?
Entry‑level roles start at $90k–$120k. Mid‑level engineers earn $120k–$160k. Senior specialists command $160k–$210k, while technical leads and architects can reach $210k–$260k based on impact and market.
What skills and certifications are required for Cutting‑Edge Solutions roles?
Core skills include Python, PyTorch/TensorFlow, ONNX, Kubernetes, Helm, and Terraform. Certifications such as AWS Certified Machine Learning – Specialty, GCP Professional ML Engineer, Microsoft Certified: Azure AI Engineer, Certified Kubernetes Administrator (CKA), Hyperledger Fabric Developer, and IBM Quantum Developer are highly valued.
Is remote work available in Cutting‑Edge Solutions positions?
Yes, most companies adopt a hybrid model: 3–5 remote days per week with optional on‑site collaboration. Full‑remote roles are common for software and data teams that rely on cloud platforms.
What career progression paths exist in Cutting‑Edge Solutions?
Typical progression: Junior Engineer → Mid‑Level Engineer → Senior Engineer → Technical Lead → Principal Engineer → Engineering Manager → VP of Engineering. Advanced specialists may become AI Ethics Lead or Quantum Architecture Lead.
What industry trends are shaping Cutting‑Edge Solutions?
Key trends include AI democratization through low‑latency edge inference, quantum‑accelerated machine learning, scalable blockchain protocols (e.g., Polkadot, Cosmos), 5G‑enabled IoT, hybrid cloud orchestration, and growing regulatory focus on data privacy and AI explainability.

Related Pages