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Senior Quantum Field Engineer - Middle East
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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 comes 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 role is based in Saudi Arabia or Dubai, UAE, and requires candidates to be locally based in one of these locations.
Travel: 20% travel domestically and globally
Job ID: 1374
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
Why Tamara?
We’re proud to be Saudi’s first FinTech unicorn.
Our mission is to help people own their dreams by building the most customer-centric financial super app in the world. & There is no playbook for that; our Tamarians are writing it. Our teams are made up of innovators, problem-solvers, and learners we thrive on curiosity and collaboration. If this sounds like you: curious, driven, and ready to build, we’d love to meet you
Apply now and join the next generation of Builders!
About Tamara's Builders Program
At Tamara, we believe exceptional talent deserves an exceptional launchpad.
Our Flagship Builders Program is designed for ambitious graduates ready to step into real responsibility from day one. This isn’t a rotational “observer” program, it’s a career accelerator built for those who want to build, own, and raise the bar early.
Designed for recent graduates and early-career talent with up to two years of experience, the program places you directly into high-impact roles across Product, Engineering, Design, and beyond. You’ll contribute immediately and grow at an accelerated pace.
From Product to Engineering, Design to Commercial, you’ll tackle meaningful challenges that shape how millions experience fintech across the region. You’ll be trusted with ownership, surrounded by high-caliber peers, and mentored by leaders who expect excellence.
Our January and June cohorts are your opportunity to move fast, think big, and start building what’s next - not someday, but now.
About the role
We’re looking for a fresh graduate or early-career AI Engineer on a builder track.
This role sits between software engineering and applied AI. You will build AI-powered features end-to-end: from turning a product problem into an AI approach, to building pipelines and evaluation, to shipping reliable services in production.
You’ll work with both classical ML and generative AI (LLMs, RAG, agents) where they make sense. With the rapid pace of AI, we care more about fundamentals than buzzwords. Use AI assistants to move faster, but always own correctness, privacy, safety, and user impact.
Your responsibilities
- Build AI products that ship
- Design and implement AI-powered features and internal tools.
- Integrate models into real systems (APIs, workflows, dashboards, and operational processes).
- Work with LLMs in a production-ready way
- Build retrieval-augmented generation (RAG) pipelines: data sourcing, chunking, embeddings, retrieval, and prompt templates.
- Build agent-style workflows when needed (tool use, guardrails, and deterministic fallbacks).
- Own evaluation and quality
- Define what “good” means: success metrics, offline tests, and human-in-the-loop review.
- Set up evaluations for quality, safety, latency, and cost.
- Make AI reliable and safe
- Add observability: logging, tracing, and monitoring for quality regressions.
- Implement privacy and security controls (PII handling, access control, redaction where needed).
- Participate in incident response and postmortems when AI systems misbehave.
- Partner across teams
- Work with product, data, design, and engineering stakeholders to translate messy problems into measurable solutions.
- Collaborate with platform teams to use existing data pipelines, event streams, and AI tooling responsibly.
- Use AI tools thoughtfully
- Use AI assistants for prototyping, debugging, and documentation.
- Validate outputs, document assumptions, and protect sensitive data.
Your expertise (must have)
- Fresh graduate or < 1 year of relevant experience (internships and projects count).
- Solid programming fundamentals in Python (preferred) or another language used for backend services.
- Strong foundations in:
- Software engineering basics (APIs, testing, reliability)
- Data handling (SQL and/or dataframes)
- ML/AI fundamentals (training vs. inference, evaluation, overfitting intuition)
- Clear communication and a collaborative approach.
Nice to have
- Hands-on experience with LLMs and/or RAG from projects (LangChain/LlamaIndex or similar patterns).
- Familiarity with model serving and deployment (REST/gRPC services, batch jobs, streaming consumers).
- Exposure to MLOps concepts (experiment tracking, model registry, monitoring).
- Familiarity with vector databases, search, or information retrieval.
- Understanding of responsible AI, privacy, and security (PII handling, access control, prompt injection awareness).
- Experience using AI assistants responsibly for coding and analysis.
What success looks like
- You ship at least one AI feature or internal tool that is used by real users.
- You set up a simple evaluation and monitoring loop so the system improves over time.
- Your solutions balance quality, latency, and cost, with clear tradeoffs.
- When the AI output is wrong or risky, you can debug, mitigate, and explain why.
All qualified individuals are encouraged to apply.
Ready to apply?
Apply to Tamara
Why Tamara?
We’re proud to be Saudi’s first FinTech unicorn.
Our mission is to help people own their dreams by building the most customer-centric financial super app in the world. & There is no playbook for that; our Tamarians are writing it. Our teams are made up of innovators, problem-solvers, and learners we thrive on curiosity and collaboration.
If this sounds like you: curious, driven, and ready to build, we’d love to meet you
Apply now and join the next generation of Builders!
About the Program:
At Tamara, we believe exceptional talent deserves an exceptional launchpad.
Our Flagship Builders Program is designed for ambitious graduates ready to step into real responsibility from day one. This isn’t a rotational “observer” program, it’s a career accelerator built for those who want to build, own, and raise the bar early.
Designed for recent graduates and early-career talent with up to two years of experience, the program places you directly into high-impact roles across Product, Engineering, Design, and beyond. You’ll contribute immediately and grow at an accelerated pace.
From Product to Engineering, Design to Commercial, you’ll tackle meaningful challenges that shape how millions experience fintech across the region. You’ll be trusted with ownership, surrounded by high-caliber peers, and mentored by leaders who expect excellence.
Our January and June cohorts are your opportunity to move fast, think big, and start building what’s next - not someday, but now.
About the role
We’re looking for a fresh graduate or early-career Data Platform Engineer on a builder track.
This role is for someone who wants to build the foundations behind analytics and AI. You will help develop and run the data platform that makes data available, secure, governed, and fast. That includes pipelines, event streaming ingestion, warehouses and lakes, and the guardrails that keep data trusted.
With the advancement of AI, we care more about strong fundamentals than memorizing tools. Use AI assistants to move faster, but always own correctness, reliability, and security.
Your responsibilities
- Build and maintain the data platform
- Help develop and maintain platform architecture (data warehouse, data lake, governance, protection).
- Keep the platform reliable, observable, and ready to scale.
- Build robust pipelines (ELT/ETL + event-driven)
- Build the infrastructure required for optimal extraction, transformation, and loading using SQL and big data technologies.
- Augment batch pipelines with event-driven patterns where it makes sense (streaming ingestion, CDC, near-real-time processing, and reliable delivery).
- Improve pipeline performance, cost, and reliability.
- Make the platform easier every week
- Identify, design, and implement internal improvements: automate manual processes, optimize data delivery, and redesign components for scalability.
- Enable analytics and AI use cases
- Build platform primitives and data products that power self-serve analytics and AI-assisted insights (not only dashboards).
- Support analytics tooling that uses the pipelines to deliver actionable insights into customer acquisition, operational efficiency, and key business metrics.
- Partner with stakeholders
- Work with stakeholders including Executive, Product, Data, and Design teams to resolve data technical issues and support infrastructure needs.
- Keep data secure across boundaries
- Help keep data separated and secure across national boundaries, including through multiple data centers and appropriate access controls.
Your expertise (must have)
- Fresh graduate or < 1 year of relevant experience (internships and projects count).
- Solid programming fundamentals in Python, Java, Go, or similar.
- Strong SQL fundamentals.
- Understanding of data concepts: schemas, partitions, data quality, SLAs, and basic security/PII awareness.
- A problem-solving mindset and comfort debugging systems end-to-end.
- Clear communication and a collaborative approach.
Nice to have
- Familiarity with cloud data stack concepts (warehouses, object storage, orchestration, streaming).
- Exposure to event streaming (Kafka concepts like topics, partitions, consumer groups) or CDC.
- Experience with dbt, Airflow, Spark, or similar tools (coursework or projects count).
- Basic Terraform/IaC and CI/CD familiarity.
- Experience using AI assistants responsibly for coding, debugging, and documentation.
What success looks like
- You ship at least one production-ready pipeline or platform improvement that reduces toil or improves reliability.
- You can debug a data issue from source to downstream consumption with clear root cause and fix.
- Teams can onboard to data sources faster, with better documentation and fewer manual steps.
- Platform reliability and data quality improve in measurable ways (latency, failures, freshness, or coverage).
Ready to apply?
Apply to Tamara
Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…
About the role ...
As a Cloud Architect Manager at Artefact, you will be responsible for designing, implementing, and overseeing robust, scalable, and secure cloud solutions that support our clients’ data and technology ecosystems. You will collaborate closely with technical teams and business stakeholders to ensure cloud architecture is aligned with business needs, optimizing tool selection, cost efficiency, and scalability. Additionally, you will lead technical teams, mentor engineers, and contribute to Artefact’s growth by driving innovation and promoting best practices in cloud technology.
What you'll be doing ...
- Lead the design and implementation of cloud infrastructure architectures (cloud, on-premise, hybrid) aligned with business requirements.
- Define and enforce best practices for cloud platform deployment and configuration, security, networking, operations and tools selection.
- Oversee the integration of cloud platforms with data pipelines, storage, and compute services.
- Standardize coding, deployment, and monitoring practices across cloud environments.
- Design and implement automated solutions to set up, monitor, and adjust cloud infrastructure efficiently.
- Lead problem-solving initiatives for complex technical challenges related to cloud environments.
- Provide technical leadership across multiple cloud projects, ensuring efficient resource management.
- Foster teamwork by mentoring, coaching and guiding cloud engineers and ensuring knowledge transfer.
- Manage client relationships regarding project expectations, timelines, and outcomes.
- Contribute to Artefact's growth by maintaining tech partnerships, leading technical proposals to support project planning and identify potential growth areas with existing accounts.
What you'll need ...
- Proven track record in architecting and deploying large-scale Google Cloud solutions
- Deep expertise in GCP security, networking, and compliance best practices (VPC Service Controls, IAM, Organization Policy)
- Designed end-to-end GCP environments that are highly available, secure, and cost-efficient—leveraging Google Kubernetes Engine (GKE), Cloud Run, Compute Engine, and Cloud SQL
- Defined global DR/HA strategies using Cloud Load Balancing, Cloud CDN, and automated failover with multi-region Bigtable/Spanner or persistent disk replication, achieving sub-hour RTOs for critical workloads
- Architected end-to-end data pipelines—built both streaming and batch ETL workflows using Pub/Sub, Dataflow (Apache Beam), and Dataproc to ingest high-throughput events into BigQuery for real-time insights.
- Designed scalable data models in BigQuery—implemented dimensional schemas with partitioning and clustering to achieve sub-second query times on petabyte-scale datasets.
- Orchestrated and scheduled workflows leveraging Cloud Composer (Airflow) and Workflows—added automated retries, data-quality validations, and alerting to guarantee pipeline reliability.
- Automated infrastructure lifecycle via Terraform and Cloud Build pipelines—implementing auto-scaling, patch management, and monitoring workflows that boosted operational efficiency
- Mastery of cost control in GCP: committed-use discounts, custom machine types, billing export analytics, and budget alerts, plus high-availability patterns for resilience
- Partnered with data teams to fine-tune architectures on Cloud Storage, BigQuery, Dataflow, and Dataproc—delivering performant, scalable analytics platforms
- Proven leadership in guiding cross-functional teams and steering complex, multi-phase cloud projects to on-time delivery
- Exceptional communicator, adept at crafting business-focused presentations and leading stakeholder workshops on GCP strategy
- Strong problem-solver, experienced in diagnosing and resolving architectural challenges across compute, data, and networking domains
- Skilled at stakeholder management, from technical deep dives with engineering teams to strategic discussions with C-level executives
- Mentorship & coaching: developing cloud engineering talent through hands-on training, code reviews, and best-practice evangelism
- Business growth driver, recognized for leveraging GCP innovations to unlock new revenue streams and streamline operations
Ready to apply?
Apply to Artefact