9 beste vacatures voor de functie van machine learning in kraaijenstein (nieuwe medewerkers gezocht)

VP of Quantum Software Engineering
Equal1 —Delft
- Fulltime
- Doctor
- Informatica
- Engineering
Snel solliciteren
Consultant Data Engineer
Sia —Rotterdam
- Fulltime
- Hybride werken
- Azure
- DevOps
- Engels
Snel solliciteren
AI Data Architect
Xuntos —Den Haag
- E-mail
- Azure
- Machinaal leren
- AI
Power Platform & AI Engineer
Robeco —Rotterdam
- Fulltime
- Azure
- Troubleshooting
- DevOps
Data & AI Traineeship
Veneficus B.V. —Rotterdam
- € 2.700 - € 3.300 per maand
- Fulltime
- Hybride werken
- Java
- Master
- Analytisch vermogen
Snel solliciteren
PKI-CLM Engineer (Managed Services)
Nomios —Leiden
- Fulltime
- Hybride werken
- Azure
- Engels
- Windows
Snel solliciteren
Senior AI Architect - Telecommunicatie
CGI —Rotterdam
- Hybride werken
- Informatica
- Azure
- Informatica
- Flexibele werkuren
Snel solliciteren
Internship: Autonomous Navigation Simulation and Synthetic Dataset Generation
Lely —Maassluis
- € 650 per maand
- Engels
- C++
- Machinaal leren
Snel solliciteren
5 dagen
Cloud DevOps Engineer - Telecom
CGI —Rotterdam
- DevOps
- AWS
- Analytisch vermogen
- Flexibele werkuren
Snel solliciteren

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Adviseur data en AI
Ministerie van Infrastructuur en Waterstaat —Den Haag
Je hebt een afgeronde opleiding in een relevante richting, zoals Data Science, Artificial Intelligence, Informatica of een vergelijkbare studie.
€ 4.132 - € 7.094 per maand
FREELANCE PRODUCT DATA ANALYST
JUST BRANDS —Lijnden
For a four-month freelance assignment, we are looking for a Product Data Analyst to support our Product Data & Control Manager and Product Merchandising team.
2 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 kraaijenstein

VP of Quantum Software Engineering

Consultant Data Engineer

AI Data Architect

Power Platform & AI Engineer

Data & AI Traineeship

PKI-CLM Engineer (Managed Services)

Senior AI Architect - Telecommunicatie

Internship: Autonomous Navigation Simulation and Synthetic Dataset Generation

Cloud DevOps Engineer - Telecom

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

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