Machine Learning Jobs in Norway.
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Senior Quantum Field Engineer - Nordics
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About IonQ:
IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance.
Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before.
We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems. Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.
Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications.
Responsibilities:
- Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
- Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
- This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
- Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
- Navigate competitive objection handling
- Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
- Create assets to explain features of our quantum applications and other IonQ quantum products.
- Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
- Lead client discovery sessions for business-oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
- Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
- Attend industry conferences, as needed, to talk to client and support our booth activities.
- Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
- This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always come first.
You’d be a good fit with:
- 5 years of experience in technical customer-facing roles or equivalent capacity. The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
- Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
- Motivated learner with a strong interest in quantum computing.
You’d be a great fit with:
- Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
- Time on the customer side in various verticals included leadership roles - this provides customer empathy
- Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
- Proficient in Python and Jupyter Notebooks.
- Expert architecture skills across various technologies (“full stack skills”)
- Experience leading technical events.
Location: This position requires candidates to be based in the Nordics (Denmark, Finland, Iceland, Norway or Sweden).
Travel: 20% travel domestically and globally
Job ID: 1375
Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment.
At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued.
We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer.
US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
If you are interested in being a part of our team and mission, we encourage you to apply!
Ready to apply?
Apply to IonQ
Frontend DevEx Engineer
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What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
As a Frontend DevEx Engineer, you’ll play an important role in building and improving the developer experience for our Product engineers. You’ll collaborate with top-tier domain and industry experts: designers, product managers, backend developers, ML engineers, 3D developers, and business leaders. We support one another, ask incisive questions, and give constructive feedback. Our goal is to leverage our diverse strengths and backgrounds to build innovative products, think outside the ordinary, and nurture a truly great culture. We’re seeking a proactive and skilled engineer who is passionate about quality and user satisfaction.
The Impact you bring to Cognite
- Contribute to architectural discussions and the implementation of scalable solutions across a diverse technology landscape, taking ownership of your tasks from concept to deployment.
- Develop and maintain solutions for developers that genuinely help them get their jobs done.
- Build and implement elegant APIs, intuitive user experiences, and the underlying infrastructure.
- Actively contribute to shaping the developer experience in Cognite.
- Work closely with our skilled developers to understand their needs and build products that help them succeed.
Required Qualifications
- You write well-structured, efficient, and maintainable code and actively champion code quality.
- You possess solid knowledge of modern JavaScript and TypeScript, with proven hands-on experience in frontend frameworks (e.g., React, Angular, Vue, or similar component-based architectures).
- Familiarity with CI/CD, build tooling (Webpack, Vite), and testing frameworks is highly valued.
Preferred Experience
- You love making users happy and are committed to creating products they truly want to use.
- You are capable of prioritizing your tasks and working efficiently to optimize your impact on the team’s goals.
- You’re comfortable learning new coding languages and adopting the best tools for the job.
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
About the Company
About the Role
Location: Remote – Norway, UK, Netherlands, Ireland
What You’ll Do (Key Responsibilities)
- Own and grow a portfolio of strategic energy accounts across Europe, serving as the primary relationship owner and trusted advisor.
- Drive new revenue by identifying, qualifying, and closing complex enterprise opportunities within the European Oil & Gas, Utilities, and Energy ecosystem.
- Develop deep executive relationships (C‑suite and VP‑level) within large European energy enterprises.
- Lead end‑to‑end enterprise sales cycles across multiple countries and regions.
- Navigate large, multi‑stakeholder buying groups in regulated and infrastructure‑heavy environments.
- Deliver value‑based presentations clearly articulating the impact of Armada’s AI and edge computing solutions on energy operations.
- Own pipeline strategy, forecasting, and CRM discipline for the European territory.
- Lead complex negotiations and close high‑value strategic deals.
- Partner cross‑functionally with product, engineering, and customer success teams to deliver tailored solutions.
- Ensure strong post‑sale engagement to drive adoption, expansion, and long‑term retention.
- Stay current on European energy trends, regulations, and competitive dynamics.
- Operate with high ownership and autonomy in a fast‑moving startup environment.
Required Qualifications
- Bachelor’s degree in Business, Engineering, Technology, or related field (advanced degree a plus).
- 7–10+ years of strategic enterprise sales experience, with a strong focus on energy accounts in Europe.
- Proven experience managing strategic or named European energy accounts.
- Strong track record closing large, complex, multi‑country enterprise deals.
- Experience selling technology solutions (AI, IT infrastructure, edge computing) into energy organizations.
- Executive‑level communication and stakeholder management skills.
- History of consistent quota overachievement.
- Disciplined pipeline management and forecasting capability.
- Self‑directed, adaptable, and effective in high‑growth environments.
Energy (Oil & Gas, Utilities, Power, Energy Infrastructure)
Preferred Qualifications
- Experience selling into regulated European energy markets.
- Familiarity with MEDDPICC, Challenger, or Command of the Message.
- Startup or high‑growth company experience.
- Knowledge of edge computing, cloud platforms, and AI/ML in industrial or energy contexts.
You're a Great Fit if You're
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
Unsolicited Resumes and Candidates
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.
Ready to apply?
Apply to Armada
About the Company
About Armada
Armada delivers sovereign, industrial-grade AI infrastructure designed to operate where traditional cloud and centralized data center models fall short. Our platform includes Atlas as the control plane, Galleon modular edge data centers powered by the Armada Edge Platform, and Leviathan, Armada’s AI Factory, which partners with Bridge, our GPU-as-a-Service offering. Together, these capabilities enable enterprises and governments to deploy, operate, and scale AI workloads securely, efficiently, and close to where data is generated.
The ND8 region represents a strategically important market for Armada. Customers here are technically sophisticated, highly security-conscious, and often operate across multiple countries with strong expectations around data residency, sustainability, and operational excellence. Armada’s success in ND8 depends on senior engineers who can both execute deeply technical deployments and maintain long-term customer ownership.
Role Overview
The Senior Forward Deploy Engineer for ND8 is a hybrid role responsible for hands-on deployment execution and ongoing technical account ownership across the Nordic region. This role combines the execution depth of a Forward Deploy Engineer with the long-term ownership and customer leadership of a Technical Account Manager.
In the early phases of engagement, the Senior FDE leads platform bring-up, deployment execution, and initial workload onboarding. Once customers are live, the same engineer remains the primary technical owner, driving adoption, operational maturity, reliability, and expansion across multiple countries and sites.
This role reports into the Sr. Director of Customer Success & Delivery, EMEA & ANZ and is intentionally designed to avoid fragmented ownership between deployment and post-sale success. Success is measured by deployment quality, speed to production, customer confidence, platform adoption, retention, and expansion.
Key Responsibilities
Deployment execution and platform bring-up
- Lead end-to-end deployment of Armada platforms including Atlas, Galleon with AEP, and Leviathan AI Factory integrated with Bridge GPU-as-a-Service
- Execute deployments across the ND8 region, including multi-country and multi-site environments
- Own infrastructure bring-up, platform configuration, and production readiness validation
- Make real-time technical decisions across hardware, networking, Kubernetes, storage, and GPU layers
Technical account ownership and customer success
- Serve as the primary technical point of contact for assigned ND8 customers post go-live
- Own the technical success plan, adoption milestones, and operational maturity roadmap
- Build trusted, long-term relationships with customer engineering, platform, security, and data teams
- Lead technical governance discussions, roadmap planning, and platform optimization conversations
Joint Success Plan ownership
- Build, maintain, and actively drive Joint Success Plans (JSPs) for each assigned customer
- Align deployment milestones, platform adoption, and operational maturity to customer business objectives
- Use the Joint Success Plan as the primary framework for prioritization, execution, risk management, and value tracking
- Regularly review progress against success plans with customer stakeholders and Armada leadership
- Ensure JSPs inform deployment sequencing, adoption strategy, roadmap discussions, and expansion planning
- Surface risks, dependencies, and blockers early and drive resolution with clear ownership
Time-to-value acceleration and adoption
- Reduce time-to-try and time-to-value by unblocking workloads and accelerating early production use cases
- Drive adoption across new workloads, business units, and countries
- Identify expansion opportunities including additional Galleon deployments and Leviathan AI Factory capacity through Bridge GPUaaS
Operational excellence and reliability
- Ensure customer environments remain stable, secure, and production-ready
- Proactively identify scaling risks, architectural gaps, and technical debt
- Coordinate with Product, Engineering, and Support teams to resolve issues efficiently
Data residency, security, and regulatory execution
- Operate confidently within ND8 data residency, privacy, and security expectations including GDPR-aligned requirements
- Support customer security reviews, audits, and governance processes
- Balance global delivery standards with local regulatory nuance and customer expectations
- Maintain disciplined access control, documentation, and operational hygiene
Field leadership and mentorship
- Act as a senior technical presence for ND8 customers, setting the bar for execution and professionalism
- Mentor junior FDEs, TAMs, and delivery engineers as the region scales
- Contribute to deployment standards, runbooks, and repeatable best practices
Cross-functional collaboration
- Partner closely with the Sr. Director of Customer Success & Delivery, EMEA & ANZ on NB8 priorities and escalations
- Work with Sales on expansion planning while maintaining a trusted post-sale posture
- Provide structured feedback to Product and Engineering teams based on real-world ND8 customer usage
Qualifications and Experience
- 8+ years of experience in infrastructure, platform engineering, SRE, forward-deployed engineering, or technical account roles
- Proven ability to own both hands-on delivery and long-term customer technical relationships
- Deep technical expertise across Linux, networking, Kubernetes, storage, and GPU-accelerated compute
- Strong troubleshooting skills in live, production environments
- Experience supporting customers across multiple European countries
- Willingness to travel within the ND8 region as required
- Clear, confident communication style suited for executive and senior engineering audiences
Preferred Experience
- Experience with edge compute, modular data centers, or distributed infrastructure
- Familiarity with AI workloads, GPU clusters, and high-performance computing environments
- Exposure to regulated, sovereign, or government-adjacent environments
- Experience operating in Nordic or EU-regulated markets
- Comfort operating with ambiguity and owning outcomes end to end
What Success Looks Like
- ND8 customer environments reach production quickly and operate reliably
- The same engineer who deploys the platform remains the trusted technical owner long-term
- Adoption expands across workloads, sites, and countries without handoff friction
- Customers view Armada as a strategic AI infrastructure partner due to consistent technical ownership
You're a Great Fit if You're
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
Unsolicited Resumes and Candidates
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.
Ready to apply?
Apply to Armada
IP Network Engineer
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What we’re all about:
Any company can tell you about how they are a multi award winning, market leading business and yes, we are both of those things in the world of IoT connectivity! But we’re more than that. 🌍✨ Our mission? To make IoT management a breeze for any device, anywhere. With over 10 million IoT subscriptions active in 165 countries and direct partnerships with 50 mobile networks, we connect you to more than 750 networks worldwide, delivering unmatched value across the IoT connectivity chain.
Innovation is in our DNA, and we have an insatiable hunger to ‘wow’! 🚀 While we may not always get it right, our drive to collaborate, innovate, and achieve top-notch customer satisfaction never wavers. We offer industry expertise, stellar service support, and the most flexible, resilient, and secure connectivity solutions on the market. Our expertise spans across various sectors, including industry, agriculture, healthcare, security, transport, utilities, and smart cities.
IoT… a fancy acronym or a secret code?
The Internet of Things (IoT) is like the magical glue that keeps the world connected! 🌐✨ From ordering your favourite takeaway to the ANPR technology that helps you find a parking spot, IoT is everywhere—even if you don’t realize it. At Wireless Logic, we provide cutting-edge connectivity solutions and technologies to ensure a vast array of devices stay seamlessly connected.
IP Network Engineer – Com4
About Us
Com4 is a leading global service provider in the Internet of Things (IoT), also known as “Machine to Machine” (M2M). We offer mobile data subscriptions tailored to our customers' applications in their connected devices and equipment. This connectivity enables innovative solutions across many sectors, such as energy, security, transport, and welfare technologies.
Com4 is a significant player in the Norwegian telecom market, with a 50% market share in the IoT segment. Through roaming agreements, we offer IoT communication on 2G/3G/4G/5G across 700 networks globally. As a Mobile Virtual Network Operator (MVNO), Com4 has its own mobile core network and a portfolio of Business Support Systems (BSS) and Operational Support Systems (OSS).
A central element of our core network is our IP/MPLS network, which connects network elements across our various data centers and forms the interface toward our customers and partners/providers of peering, IP Transit, and IPX/GRX. We have solutions for several VPN variants adapted for business customers with dedicated APNs and diverse communication needs. We make extensive use of MPLS in both IP and mobile network elements for efficient service production. FW and NAT solutions are important security elements in our design. The services we produce meet high requirements for uptime, and solution flexibility is a central part of the offering we provide to customers. Moving forward, the network is being further developed to support 5G SA mobile services, scale, and increase the degree of automation.
About the Role
As an IP Network Engineer, you will develop and operate a modern network based on IP/BGP/MPLS/OSPF protocols. You will join our team of highly skilled engineers responsible for both IP and IT operations, where you will be one of three dedicated specialists focusing specifically on the IP domain. We are seeking someone with the competence and commitment to ensure a scalable and flexible IP network with high uptime. The role also involves providing technical customer support and guidance for IPsec implementations, ensuring secure and reliable connectivity for our clients, and implementing automation practices around these technologies.
We will consider both senior candidates with extensive experience and juniors with shorter experience, and can adapt tasks and responsibilities in line with the candidate's profile.
We are looking for someone who is solution-oriented and fearless when facing complicated tasks. We value good cooperation and communication skills, while it is also crucial to work independently and proactively within your own field of expertise.
To further strengthen our technical team, we are looking for an IP Network Engineer who has competence or experience in several of the following areas, as well as an interest in learning more:
- Experience with development and/or operation of networks—preferably from an ISP, MNO/MVNO, or similar consultancy.
- IP/MPLS network protocols (IP, OSPF, IS-IS, MPLS, BGP, VPN, L2TP).
- Technical support and implementation of IPsec VPN solutions for customers.
- Knowledge of or experience with Private Cloud and virtualization platforms, specifically OpenStack and Red Hat OpenShift (Kubernetes).
- Firewall and NAT implementations.
- OSS tools for logging and network monitoring such as NetFlow, Icinga, Splunk, Grafana, Telegraf.
- Network systems and protocols such as DNS, NTP, DHCP, RADIUS, SMTP, SNMP, Streaming Telemetry, BMP, BGP-LS.
- Advantageous with knowledge of APN/VPN application in mobile operations.
- Security architecture and experience with network segregation and micro-segmentation.
- Advantageous with an interest in and knowledge of network automation and the use of Infrastructure-as-Code tools like Ansible and Terraform.
- Certifications such as CCNA, CCNP, CCIE, or equivalent are a plus.
- Advantageous with general IT competence, such as basic IT system operations, scripting, and simple programming.
We Offer
Com4 is a highly attractive workplace. We have a flexible and growth-oriented entrepreneurial culture, while offering security and competitive terms. We have an excellent working environment—here you will find pleasant and competent colleagues in a team that helps each other and works together as one. We place great emphasis on the social aspect, including regular events and celebration of successes with company trips, etc. We offer state-of-the-art premises in the tech hub that has emerged at Løren/Hasle-Linje. We expect independence and commitment from you, and in return offer flexibility regarding home office and the choice of work tools that suit you.
About the Employer
Com4 is a mobile operator offering communication services for the growth market of the Internet of Things (IoT). Com4 is a company based in Oslo with solid finances after many years as a market winner in Norway. Our owner is the Wireless Logic Group in the UK, a recognized leader in the Managed IoT industry globally, with 12 million SIMs worldwide and operations in more than 10 countries.
#LI-Hybrid
#LI-CC1
We know the world has changed, and we want to offer our employees the chance to collaborate at our unique office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process, but we are currently excited to have our employees experience our office culture as much as possible.
Wireless Logic Group unites and brings people together. We accomplish this when we lead with a lens of diversity, equity, and inclusion in everything we do. As a global company that drives culture we aim to reflect the world’s diverse voices both internally and externally to ensure success in our mission.
By applying for this role, you are consenting for us to hold and process your data in compliance with the General Data Protection Regulations. If you have any questions or wish to exercise your right to access, erase or restrict the holding or processing of your data please contact us (recruitment@wirelesslogic.com) and we will respond to your query as soon as possible.
Ready to apply?
Apply to Wireless LogicAI Compiler Engineer
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EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.
About the Role
EnCharge AI is seeking a highly skilled and experienced AI Compiler Engineer to spearhead the efforts in developing and optimizing graph compilers tailored to cutting-edge AI and ML workloads. You will collaborate with hardware architects, and AI researchers to enhance performance, optimize computation graphs, and enable efficient model deployment on EnCharge’s Inference Accelerators.
Responsibilities
- Architect, design, and implement optimizations for AI model execution on graph compilers to improve performance, reduce latency, and maximize hardware utilization.
- Work closely with ML researchers, hardware engineers, and software developers to design and deploy AI models, understanding and addressing hardware-specific challenges.
- Work on performance optimizations for neural network models, such as layer fusion, operator fusion, and graph-level transformations.
- Develop compiler optimizations and passes that convert high-level AI models (e.g., from TensorFlow, PyTorch) into intermediate representations (IR).
- Implement parsing, semantic analysis, and IR generation for deep learning frameworks.
- Research and integrate the latest advancements in compiler design, ML model optimizations, and hardware acceleration into graph compilers.
- Provide leadership, mentorship, and technical guidance to a team of engineers focused on graph compiler optimizations.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field (Ph.D. preferred).
- 3+ years in compiler development, with a strong focus on AI or ML graph compilers.
- Proficiency in AI graph compiler frameworks (e.g., MLIR, Torch-FX)
- Solid background in hardware architectures (e.g., GPUs, TPUs, ASICs) and optimization techniques such as fusion, quantization, and tiling.
- Familiarity with neural networks operators and code generation.
- Strong understanding of intermediate representations, code parsing, and semantic analysis in compiler design.
- Proficiency in C++, Python, or other programming languages commonly used in compiler development.
- Open-source contributions to AI software frameworks and libraries is a plus
- Demonstrated experience leading and mentoring engineering teams with successful project delivery.
EnchargeAI is an equal employment opportunity employer in the United States.
Ready to apply?
Apply to EnCharge AI
Manager, Data Science
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What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune.
You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite’s delivery standards.
This is a capability-building role—your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods.
The Impact you bring to Cognite
Regional Technical Leadership (Data Science)
- Own the DS function’s technical quality across all customer engagements in the region
- Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing
- Ensure scalable, maintainable, and well-documented analytical solutions across all pods.
Customer Value Realization
- Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes
- Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs.
- Support escalations as a senior technical advisor—ensuring pragmatic, customer-centric resolution
Scaling & Growth
- Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions.
- Ensure DS work accelerates adoption of AI-enabled workflows, Dune-based solutions, and repeatable industrial patterns.
- Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function.
Operational & Delivery Quality Management
- Ensure DS teams follow disciplined delivery practices including:
– clear problem framing
– structured exploration
– robust modelling & validation
– well-defined acceptance criteria
– telemetry, monitoring, and performance checks - Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness.
- Track DS contribution to delivery health, model quality, and customer outcomes.
Team Leadership & Development
- Lead, mentor, and develop the Data Science community across Value Delivery Europe.
- Define the DS competency framework and build learning pathways covering:
– statistics, machine learning, optimisation
– deep learning, generative models, agentic frameworks
– industrial domain context
– Dune workflows and UI-based logic
– communication, consulting, and delivery excellence - Run DS guilds, brown bags, technical shows-and-tells, and practice reviews.
- Recruit top DS talent, shape onboarding, and grow internal leaders.
Collaboration & Alignment
- Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success.
- Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements.
- Support cross-functional alignment on best practices for modelling, data readiness, and solution reliability
- 7–10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles
- Proven track record delivering data-driven solutions in production—preferably in industrial, asset-heavy, or mission-critical environments
- Experience leading technical teams or DS communities
- Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows.
- Ability to translate industrial problems into analytical, predictive, or agent-based solutions
- Familiarity with full-stack DS:
– backend logic (Python/SQL/pipelines)
– UI/workflow experience (Dune, low-code/no-code, visual interfaces) - Excellent communication skills—able to explain complex technical concepts to non-technical stakeholders
- High delivery orientation with strong problem-solving and analytical thinking
Mindset:
- Passionate about growing people, uplifting technical depth, and maturing DS practices
- Curious, experimental, and willing to adopt new frameworks, including Dune-based development
- Collaborative, structured, and committed to customer value and operational excellence
- Thrives in high-growth, rapidly evolving environments
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
Manager, Data Science
Share this job
What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune.
You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite’s delivery standards.
This is a capability-building role—your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods.
The Impact you bring to Cognite
Regional Technical Leadership (Data Science)
- Own the DS function’s technical quality across all customer engagements in the region
- Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing
- Ensure scalable, maintainable, and well-documented analytical solutions across all pods.
Customer Value Realization
- Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes
- Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs.
- Support escalations as a senior technical advisor—ensuring pragmatic, customer-centric resolution
Scaling & Growth
- Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions.
- Ensure DS work accelerates adoption of AI-enabled workflows, Dune-based solutions, and repeatable industrial patterns.
- Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function.
Operational & Delivery Quality Management
- Ensure DS teams follow disciplined delivery practices including:
– clear problem framing
– structured exploration
– robust modelling & validation
– well-defined acceptance criteria
– telemetry, monitoring, and performance checks - Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness.
- Track DS contribution to delivery health, model quality, and customer outcomes.
Team Leadership & Development
- Lead, mentor, and develop the Data Science community across Value Delivery Europe.
- Define the DS competency framework and build learning pathways covering:
– statistics, machine learning, optimisation
– deep learning, generative models, agentic frameworks
– industrial domain context
– Dune workflows and UI-based logic
– communication, consulting, and delivery excellence - Run DS guilds, brown bags, technical shows-and-tells, and practice reviews.
- Recruit top DS talent, shape onboarding, and grow internal leaders.
Collaboration & Alignment
- Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success.
- Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements.
- Support cross-functional alignment on best practices for modelling, data readiness, and solution reliability
- 7–10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles
- Proven track record delivering data-driven solutions in production—preferably in industrial, asset-heavy, or mission-critical environments
- Experience leading technical teams or DS communities
- Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows.
- Ability to translate industrial problems into analytical, predictive, or agent-based solutions
- Familiarity with full-stack DS:
– backend logic (Python/SQL/pipelines)
– UI/workflow experience (Dune, low-code/no-code, visual interfaces) - Excellent communication skills—able to explain complex technical concepts to non-technical stakeholders
- High delivery orientation with strong problem-solving and analytical thinking
Mindset:
- Passionate about growing people, uplifting technical depth, and maturing DS practices
- Curious, experimental, and willing to adopt new frameworks, including Dune-based development
- Collaborative, structured, and committed to customer value and operational excellence
- Thrives in high-growth, rapidly evolving environments
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
Manager, Data Science
Share this job
What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune.
You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite’s delivery standards.
This is a capability-building role—your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods.
The Impact you bring to Cognite
Regional Technical Leadership (Data Science)
- Own the DS function’s technical quality across all customer engagements in the region
- Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing
- Ensure scalable, maintainable, and well-documented analytical solutions across all pods.
Customer Value Realization
- Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes
- Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs.
- Support escalations as a senior technical advisor—ensuring pragmatic, customer-centric resolution
Scaling & Growth
- Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions.
- Ensure DS work accelerates adoption of AI-enabled workflows, Dune-based solutions, and repeatable industrial patterns.
- Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function.
Operational & Delivery Quality Management
- Ensure DS teams follow disciplined delivery practices including:
– clear problem framing
– structured exploration
– robust modelling & validation
– well-defined acceptance criteria
– telemetry, monitoring, and performance checks - Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness.
- Track DS contribution to delivery health, model quality, and customer outcomes.
Team Leadership & Development
- Lead, mentor, and develop the Data Science community across Value Delivery Europe.
- Define the DS competency framework and build learning pathways covering:
– statistics, machine learning, optimisation
– deep learning, generative models, agentic frameworks
– industrial domain context
– Dune workflows and UI-based logic
– communication, consulting, and delivery excellence - Run DS guilds, brown bags, technical shows-and-tells, and practice reviews.
- Recruit top DS talent, shape onboarding, and grow internal leaders.
Collaboration & Alignment
- Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success.
- Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements.
- Support cross-functional alignment on best practices for modelling, data readiness, and solution reliability
- 7–10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles
- Proven track record delivering data-driven solutions in production—preferably in industrial, asset-heavy, or mission-critical environments
- Experience leading technical teams or DS communities
- Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows.
- Ability to translate industrial problems into analytical, predictive, or agent-based solutions
- Familiarity with full-stack DS:
– backend logic (Python/SQL/pipelines)
– UI/workflow experience (Dune, low-code/no-code, visual interfaces) - Excellent communication skills—able to explain complex technical concepts to non-technical stakeholders
- High delivery orientation with strong problem-solving and analytical thinking
Mindset:
- Passionate about growing people, uplifting technical depth, and maturing DS practices
- Curious, experimental, and willing to adopt new frameworks, including Dune-based development
- Collaborative, structured, and committed to customer value and operational excellence
- Thrives in high-growth, rapidly evolving environments
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
Manager, Data Science
Share this job
What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune.
You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite’s delivery standards.
This is a capability-building role—your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods.
The Impact you bring to Cognite
Regional Technical Leadership (Data Science)
- Own the DS function’s technical quality across all customer engagements in the region
- Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing
- Ensure scalable, maintainable, and well-documented analytical solutions across all pods.
Customer Value Realization
- Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes
- Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs.
- Support escalations as a senior technical advisor—ensuring pragmatic, customer-centric resolution
Scaling & Growth
- Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions.
- Ensure DS work accelerates adoption of AI-enabled workflows, Dune-based solutions, and repeatable industrial patterns.
- Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function.
Operational & Delivery Quality Management
- Ensure DS teams follow disciplined delivery practices including:
– clear problem framing
– structured exploration
– robust modelling & validation
– well-defined acceptance criteria
– telemetry, monitoring, and performance checks - Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness.
- Track DS contribution to delivery health, model quality, and customer outcomes.
Team Leadership & Development
- Lead, mentor, and develop the Data Science community across Value Delivery Europe.
- Define the DS competency framework and build learning pathways covering:
– statistics, machine learning, optimisation
– deep learning, generative models, agentic frameworks
– industrial domain context
– Dune workflows and UI-based logic
– communication, consulting, and delivery excellence - Run DS guilds, brown bags, technical shows-and-tells, and practice reviews.
- Recruit top DS talent, shape onboarding, and grow internal leaders.
Collaboration & Alignment
- Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success.
- Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements.
- Support cross-functional alignment on best practices for modelling, data readiness, and solution reliability
- 7–10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles
- Proven track record delivering data-driven solutions in production—preferably in industrial, asset-heavy, or mission-critical environments
- Experience leading technical teams or DS communities
- Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows.
- Ability to translate industrial problems into analytical, predictive, or agent-based solutions
- Familiarity with full-stack DS:
– backend logic (Python/SQL/pipelines)
– UI/workflow experience (Dune, low-code/no-code, visual interfaces) - Excellent communication skills—able to explain complex technical concepts to non-technical stakeholders
- High delivery orientation with strong problem-solving and analytical thinking
Mindset:
- Passionate about growing people, uplifting technical depth, and maturing DS practices
- Curious, experimental, and willing to adopt new frameworks, including Dune-based development
- Collaborative, structured, and committed to customer value and operational excellence
- Thrives in high-growth, rapidly evolving environments
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
Senior Solution Architect
Share this job
What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
- End-to-end architecture and solution design leadership.
- Providing strategic and technical expertise to support customers and the customer-facing project teams.
- Defining enterprise and solution architecture, including integration and data models and data ingestion pipelines, as well as user-facing solutions
- Expressing complex technical solutions through architecture modeling tools
- Ensure operational responsibility and support agreements for the delivered solutions
- Building strong relationships with key stakeholders, C-level executives, and IT and Business Data Managers to drive long-term adoption of Cognite’s products and services
- Training internal teams and partners in your area of specialization
- Collaborating with Sales, Engineering, and Product Management teams to translate customer needs into product offerings
- Independently work with managing integration, data modeling, and related activities using Cognite data connectors and extractors, SQL, Python/Java, Rest APIs and Cloud platform providers like Azure, AWS & Google
- Collaborate with our Sales, Engineering and Product Management teams to turn customer needs into a prioritised pipeline of product offerings
- Develop and maintain technical and business expertise for Cognite’s products
The Impact you bring to Cognite
- We expect all our solutions architects to be hands-on in python as well as a good hands-on expertise with software development best practices.
- Open to travel.
- You must be highly organised, thorough, and communicate well with all stakeholders.
- Take ownership and drive tasks independently
- You will be required to collaborate, lead, and coach, as well as work independently.
- 8+ years of experience working as a Software Engineer/Data Engineer/Machine Learning Engineer
- Technical background, willing and able to dive in and contribute code for advanced topics when needed
Preferred Experience
- Experience from domains like Manufacturing, Energy, O&G, Pharma, Life sciences is preferred
A snapshot of our many perks and benefits as a Cogniter
- Join an organization of 60 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝
- A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more
- Flat structure with direct access to decision-makers
- Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology
- Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
- Get access to private health services with Cognite Care.
- Hungry? We’ve got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House)
- Our own Cognite exclusive coffee bar ☕ with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes.
- We take your mental- and physical health seriously by having a broad health offering and a free membership to our fully-staffed gym on-site.
- A pet lover? Get the chance to meet Spot at the Robot Garden!
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
Business Development Manager / Account Executive
Share this job
What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
- Work alongside an experienced team to identify, qualify, and pursue opportunities in Nordics, UK and Benelux.
- Develop and execute sales strategies to drive bookings growth, win new customers and grow existing customers.
- Through active prospecting, generate new pipeline and provide insights and advise to prospective clients on how Cognite’s solutions will address the most important areas of their value chain.
- Manage complex sales cycles and collaborate with your cross-functional teams (pre-sales and other key functions) to delight your prospects and customers.
- Utilize value-selling processes alongside demonstrating deep knowledge of Cognite’s solutions.
- Negotiate favorable pricing and business terms with large enterprises by selling value and ROI.
- Achieve bookings targets while developing satisfied and referenceable customers.
- Continuously learn and develop through close mentorship, training, and on-the-job experience.
- Be “on the road” a lot. It is expected that as an Account Executive you will spend 40-50% of your time on client sites, conferences, events or other activities.
The Impact you bring to Cognite
- High level of energy, drive, ambition, and ability to thrive in ambiguity.
- Curiosity and coachability – eager to learn, willing to take feedback, and open to new ways of working.
- Strong problem-solving and analytical skills including comfort with numbers and business cases – Excel/PowerPoint savvy.
- Excellent written and verbal communication skills, including good presentation skills.
- Detail oriented, strong relationship-building skills and a focus on a high level of customer service.
- Self-motivated, who can work independently and proactively to resolve issues and take ownership of processes and results with minimal supervision.
- Previous training in Command of the Message, MEDDPICC and Salesforce.com is a plus, but not a requirement.
- Familiarity and high interest in relevant technology, such as Big Data, IoT, Generative AI, Machine Learning, and Business Intelligence.
- 4-7 years of experience in a high-paced environment (e.g. business development, start-up, sales, consulting, strategy, or similar).
- Fluent in English plus one of the local languages (Norwegian, Swedish, Danish, Finnish, Dutch) is a desired plus.
Preferred Experience
- Minimum Bachelor’s degree. A relevant Master’s degree is preferred.
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
Senior Solution Architect
Share this job
What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
- End-to-end architecture and solution design leadership.
- Providing strategic and technical expertise to support customers and the customer-facing project teams.
- Defining enterprise and solution architecture, including integration and data models and data ingestion pipelines, as well as user-facing solutions
- Expressing complex technical solutions through architecture modeling tools
- Ensure operational responsibility and support agreements for the delivered solutions
- Building strong relationships with key stakeholders, C-level executives, and IT and Business Data Managers to drive long-term adoption of Cognite’s products and services
- Training internal teams and partners in your area of specialization
- Collaborating with Sales, Engineering, and Product Management teams to translate customer needs into product offerings
- Independently work with managing integration, data modeling, and related activities using Cognite data connectors and extractors, SQL, Python/Java, Rest APIs and Cloud platform providers like Azure, AWS & Google
- Collaborate with our Sales, Engineering and Product Management teams to turn customer needs into a prioritised pipeline of product offerings
- Develop and maintain technical and business expertise for Cognite’s products
The Impact you bring to Cognite
- We expect all our solutions architects to be hands-on in python as well as a good hands-on expertise with software development best practices.
- Open to travel.
- You must be highly organised, thorough, and communicate well with all stakeholders.
- Take ownership and drive tasks independently
- You will be required to collaborate, lead, and coach, as well as work independently.
- 8+ years of experience working as a Software Engineer/Data Engineer/Machine Learning Engineer
- Technical background, willing and able to dive in and contribute code for advanced topics when needed
Preferred Experience
- Experience from domains like Manufacturing, Energy, O&G, Pharma, Life sciences is preferred
A snapshot of our many perks and benefits as a Cogniter
- Join an organization of 60 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝
- A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more
- Flat structure with direct access to decision-makers
- Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology
- Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
- Get access to private health services with Cognite Care.
- Hungry? We’ve got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House)
- Our own Cognite exclusive coffee bar ☕ with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes.
- We take your mental- and physical health seriously by having a broad health offering and a free membership to our fully-staffed gym on-site.
- A pet lover? Get the chance to meet Spot at the Robot Garden!
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
AI Research Engineer
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EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.
About the Role
EnCharge AI is looking for an experienced AI Research Engineer to optimize deep learning models for deployment on edge AI platforms. You will work on model compression, quantization strategies, and efficient inference techniques to improve the performance of AI workloads.
Responsibilities
-
Research and develop quantization-aware training (QAT) and post-training quantization (PTQ) techniques for deep learning models.
-
Implement low-bit precision optimizations (e.g., INT8, BF16).
-
Design and optimize efficient inference algorithms for AI workloads, focusing on latency, memory footprint, and power efficiency.
-
Work with frameworks such as PyTorch, ONNX Runtime, and TVM to deploy optimized models.
-
Analyze accuracy trade-offs and develop calibration techniques to mitigate precision loss in quantized models.
-
Collaborate with hardware engineers to optimize model execution for edge devices, and NPUs.
-
Contribute to research on knowledge distillation, sparsity, pruning, and model compression techniques.
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Benchmark performance across different hardware and software stacks.
-
Stay updated with the latest advancements in AI efficiency, model compression, and hardware acceleration.
Qualifications
-
Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field.
-
Strong expertise in deep learning, model optimization, and numerical precision analysis.
-
Hands-on experience with model quantization techniques (QAT, PTQ, mixed precision).
-
Proficiency in Python, C++, CUDA, or OpenCL for performance optimization.
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Experience with AI frameworks: PyTorch, TensorFlow, ONNX Runtime, TVM, TensorRT, or OpenVINO.
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Understanding of low-level hardware acceleration (e.g., SIMD, AVX, Tensor Cores, VNNI).
-
Familiarity with compiler optimizations for ML workloads (e.g., XLA, MLIR, LLVM).
EnchargeAI is an equal employment opportunity employer in the United States.
Ready to apply?
Apply to EnCharge AIDevice Driver Engineer
Share this job
EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.
About the Role
EnCharge AI is seeking a highly skilled Device Driver Engineer to design and implement high-performance driver stack for our cutting-edge AI accelerator hardware. In this role, you will work closely with hardware, firmware, and AI software teams to develop low-latency, high-bandwidth communication between the host system and AI accelerator.
Responsibilities
- Develop, optimize, and maintain Linux/Windows PCIe device drivers for AI accelerators.
- Implement low-level hardware interactions, DMA, memory management, and interrupt handling.
- Work on driver optimizations to reduce latency and improve throughput for AI workloads.
- Debug and troubleshoot PCIe protocol, kernel panics, crashes, and performance bottlenecks.
- Collaborate with hardware, firmware, and AI software teams to define driver interfaces.
- Ensure compliance with PCIe standards (Gen4/Gen5), SR-IOV, BAR memory mapping, and IOMMU.
- Support virtualization (VFIO, SR-IOV, DPUs) and containerized environments (Kubernetes, Docker, etc.).
- Develop tools for profiling, debugging, and monitoring driver performance.
- Contribute to open-source kernel modules if applicable.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
- 3+ years of experience in device driver development for Linux and/or Windows.
- Strong experience with PCIe-based hardware, including BAR regions, DMA, interrupts, and MMIO.
- Proficiency in C/C++ and kernel-mode programming (Linux Kernel, Windows WDDM/WDF/MCDM).
- Experience with AI-specific accelerators (e.g., GPUs, NPUs, TPUs) is a plus.
- Knowledge of low-level debugging tools (gdb, perf, ftrace, dmesg, PCIe analyzers).
- Understanding of multi-threading, synchronization, and memory management in kernel space.
- Familiarity with high-performance AI/ML workloads is a plus.
- Experience in hypervisor interactions, VFIO, and passthrough solutions.
- Knowledge of secure boot, firmware updates, and trusted execution environments (TEE).
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