7 beste vacatures voor de functie van machine learning in maassluis (nieuwe medewerkers gezocht)

VP of Quantum Software Engineering
Equal1 —Delft
- Fulltime
- Doctor
- Informatica
- Engineering
Snel solliciteren
Interns and graduate trainees
COAS Software Systems —Middelharnis
- E-mail
- Java
- SQL
- JavaScript
Cloud DevOps Engineer - Telecom
CGI —Rotterdam
- DevOps
- AWS
- Analytisch vermogen
- Flexibele werkuren
Snel solliciteren
Robotica-applicatie-ingenieur
MonoBot Robotics B.V. —Den Haag
- € 84.000 per jaar
- Fulltime
- Java
- C++
- Machinaal leren
- Kosteloos parkeren
- Flexibele werkuren
Snel solliciteren
11 uur
stage Onderzoek en Ontwikkeling RAG-systeem
Politie —Zoetermeer
- € 725 per maand
- Online sollicitatie
- Hybride werken
- Onderzoek
- Master
- Analytisch vermogen
1 dag
Technische HBO/WO afstudeerstage – Passenger Flow Analyses - Siemens Mobility
Siemens —Zoetermeer
- € 750 per maand
- Parttime
- Engineering
- Engels
Senior AI Architect - Telecommunicatie
CGI —Rotterdam
- Hybride werken
- Informatica
- Azure
- Informatica
- Flexibele werkuren
Snel solliciteren

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Based on your search for machine learning jobs.

AI & Deep Learning Intern
Robin Radar —Den Haag
Proficiency in Python and hands-on experience with deep learning frameworks, specifically PyTorch. Strong analytical and problem-solving skills with a keen eye…
€ 500 - € 750 per maand
Vacature: Internship Diversity, Equity & Inclusion - View vacancy
Bekijk bedrijf: NN Group —Den Haag
We are looking for an intern who can start September 2026 for a period of at least 8 months with the possibility to extend up to 12 months.
€ 650 per maand
13 dagen

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VP of Quantum Software Engineering

Equal1
Delft

Snel solliciteren

Vacaturegegevens

Fulltime

Kwalificaties

Doctor
Informatica
Engineering
Analytisch vermogen
C++
Teammanagement
Natuurkunde
Softwareontwikkeling
Managementervaring
Python

Volledige vacaturetekst

We are seeking a highly accomplished VP of Quantum Software Engineering to oversee and drive the architecture and development of our full software stack, from high level applications to low-level quantum processors control. You will lead a team of talented software engineers and collaborate closely with our hardware, quantum, and algorithm development teams to deliver a customer-focused, robust, and scalable software stack.

This is a technical and strategic leadership position that requires deep experience developing complex software for hybrid quantum processors, strong software engineering leadership, and an understanding of applied classical and quantum algorithm principles.

Key Responsibilities:

Drive software architecture, compiler and runtime development strategy
Drive the development of the compiler architecture, algorithms and compiler logic required for real-time, high-fidelity qubit shuttling.
Direct the development, optimization, and scaling of our full-stack quantum software ecosystem, including our quantum compilers, runtime environments, and cloud APIs.
Own the software strategy for Hybrid Quantum-Classical Computing, ensuring seamless integration between CPU/GPU clusters and our quantum processing units (QPUs).
Partner directly with the VP of Quantum Architecture and the Silicon/Cryo-CMOS teams to drive system co-design, ensuring our software extracts maximum fidelity and performance from our physical qubits.
Work with the algorithm and engineering teams to implement support within the software stack for scalable Quantum Error Correction (QEC) algorithms and logical qubit virtualization
Work with our engineering and scientific teams toDevelop and implement simulation and modeling tools to evaluate the performance and reliability of fault-tolerant quantum computing systems.

Requirements:

Strong knowledge and understanding of quantum computing, including quantum software, quantum hardware & quantum algorithms. Candidates should have a comprehensive understanding of fault-tolerant quantum computing, with experience in the following areas: error-correction and decoding, quantum computing, error modeling, logical gate design, magic state distillation, lattice surgery.
Experience with quantum algorithms and compiling in the regime of fault tolerant gates.
Relevant experience in academia or industry research in quantum error correction and fault-tolerance using a range of techniques, such as error correction, fault-tolerant gates, and quantum error mitigation.
Familiarity with quantum computing software development tools, such as Qiskit, Cirq, or TKET.

Candidates should have a comprehensive knowledge of LLVM or similar compilation framework
Competence in programming using Python (or similar) and experience with machine learning algorithms is desirable.
Experience working with cross-functional teams, including engineering, algorithm development, software, and quantum measurement teams.
PhD in Physics, Maths, Engineering or Computer Science, with a focus on quantum error correction, quantum information theory or quantum computation preferred.
Strong problem-solving and analytical skills, with the ability to design and develop software for complex fault-tolerant systems effectively.
Strong communication and interpersonal skills, with the ability to effectively collaborate with quantum engineers, scientists, and other technical professionals.

Preferred Qualifications:

Direct Quantum Experience: Previous leadership role at a quantum hardware or software startup, or within a major tech company's quantum division.
Expertise in Dynamic Architectures: Deep technical understanding of the software requirements for dynamic connectivity, specifically compiling circuits that rely on qubit shuttling
Error Correction Expertise: Deep understanding of the software requirements for fault-tolerant quantum computing and QEC decoding.

Qualifications:

Advanced degree (Ph.D. preferred) in Computer Science, Quantum Computing, Physics, or a related field.
Proven experience (10+ years) in commercial software engineering, with a significant portion in a leadership role.
Deep understanding of quantum mechanics and quantum computing principles.
Experience with quantum programming languages (e.g., Qiskit, Cirq, TKET) and classical programming languages (e.g., Python, C++).
Strong problem-solving skills and the ability to think strategically about technology and its business implications.
Excellent communication and interpersonal skills, with the ability to lead and inspire a diverse team.
Track record of successful project management and delivery in a fast-paced, innovative environment.

Snel solliciteren

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machine learning vacatures in maassluis

VP of Quantum Software Engineering

Interns and graduate trainees

Cloud DevOps Engineer - Telecom

Robotica-applicatie-ingenieur

stage Onderzoek en Ontwikkeling RAG-systeem

Technische HBO/WO afstudeerstage – Passenger Flow Analyses - Siemens Mobility

Senior AI Architect - Telecommunicatie

Discover related jobs

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van machine learning in maassluis

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