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                          799 Treffer für Hardware Engineering Jobs in Starnberg im Umkreis von 30 km

                          Noch nichts dabei? Es gibt 787 weitere Jobs, die zu deiner Suche passen könnten

                          Team Lead Software Development (m/w/d)

                          Reverion GmbH
                          Eresing
                          Teilweise Home-Office
                          Schnelle Bewerbung
                          Als Schnittstelle zwischen Operations, Engineering und Data Science priorisierst du Anforderungen und überführst sie in einen strukturierten Product Backlog. * Du bringst mehrjährige Praxiserfahrung in der Softwareentwicklung mit Hardware-Bezug mit (idealerweise im Energiesektor oder im Industrial IoT Umfeld). * Du hast bereits Entwicklungsteams geführt (mindestens fachlich) und beherrschst agiles Projektmanagement (SCRUM) sowie präzises Requirements Engineering.
                          Als Schnittstelle zwischen Operations, Engineering und Data Science priorisierst du Anforderungen und überführst sie in einen strukturierten Product Backlog. * Du bringst mehrjährige Praxiserfahrung in der Softwareentwicklung mit Hardware-Bezug mit (idealerweise im Energiesektor oder im Industrial IoT Umfeld). * Du hast bereits Entwicklungsteams geführt (mindestens fachlich) und beherrschst agiles Projektmanagement (SCRUM) sowie präzises Requirements Engineering.
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                          (Senior) Robotics Testing and Applications Engineer (m/f/d)

                          Agile Robots SE
                          München
                          Validate functionality, robustness, and performance of software and hardware in real robotic platforms * Analyze robot behavior and system performance, identifying root causes for issues related to kinematics, motion planning, control, perception, or hardware interaction * Bachelor's or Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related technical field * Minimum 5 years of experience in robotics testing, applications engineering, integration, or system validation roles * Experiencein testing and validating software and hardware modules in integrated robotic systems * Strong debugging skills across software and hardware layers * Experience with hardware-in-the-loop (HIL) or simulation-in-the-loop (SIL) validation
                          Validate functionality, robustness, and performance of software and hardware in real robotic platforms * Analyze robot behavior and system performance, identifying root causes for issues related to kinematics, motion planning, control, perception, or hardware interaction * Bachelor's or Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related technical field * Minimum 5 years of experience in robotics testing, applications engineering, integration, or system validation roles * Experiencein testing and validating software and hardware modules in integrated robotic systems * Strong debugging skills across software and hardware layers * Experience with hardware-in-the-loop (HIL) or simulation-in-the-loop (SIL) validation
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                          Our dynamic multinational team builds and maintains the flight hardware in close collaboration with our and the Integrated Testing team at our launch base. * Completed vocational training as an aircraft mechanic, specializing in production engineering, maintenance engineering or comparable training in accordance with the requirements
                          Our dynamic multinational team builds and maintains the flight hardware in close collaboration with our and the Integrated Testing team at our launch base. * Completed vocational training as an aircraft mechanic, specializing in production engineering, maintenance engineering or comparable training in accordance with the requirements
                          mehr
                          To achieve cost and energy efficient solutions, we combine deep expertise in AI and chip design, developing tailor made AI models for connected vehicles worldwide - delivering maximum performance while making optimal use of available hardware. * Furthermore, you optimise AI models for embedded platforms, driving performance analysis and benchmarking, as well as runtime, compute, and memory efficiency on next-generation edge hardware. * You apply state-of-the-art compression techniques (quantisation, pruning, distillation, sparsity) to enable high-performance AI under strict real-time, energy, and hardware constraints. * Additionally, you collaborate closely with software, machine learning, and semiconductor specialists to advance hardware/software co-design, ensuring functional correctness, safety, and deterministic real-time behaviour.
                          To achieve cost and energy efficient solutions, we combine deep expertise in AI and chip design, developing tailor made AI models for connected vehicles worldwide - delivering maximum performance while making optimal use of available hardware. * Furthermore, you optimise AI models for embedded platforms, driving performance analysis and benchmarking, as well as runtime, compute, and memory efficiency on next-generation edge hardware. * You apply state-of-the-art compression techniques (quantisation, pruning, distillation, sparsity) to enable high-performance AI under strict real-time, energy, and hardware constraints. * Additionally, you collaborate closely with software, machine learning, and semiconductor specialists to advance hardware/software co-design, ensuring functional correctness, safety, and deterministic real-time behaviour.
                          mehr
                          We build and operate the ML infrastructure that takes perception and vision models from experiment to production - across a data mesh of domain-owned datasets, through large-scale distributed training on Qualcomm Cloud AI 100 and NVIDIA GPU clusters, all the way to optimized, deployment-ready artefacts for resource-constrained hardware in the vehicle. * University degree in Computer Science, Engineering, or a related field.
                          We build and operate the ML infrastructure that takes perception and vision models from experiment to production - across a data mesh of domain-owned datasets, through large-scale distributed training on Qualcomm Cloud AI 100 and NVIDIA GPU clusters, all the way to optimized, deployment-ready artefacts for resource-constrained hardware in the vehicle. * University degree in Computer Science, Engineering, or a related field.
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                          Während ihrer Arbeit setzen sie die Methoden des Software-Engineerings sowie moderne Software ein und nutzen die gesamte Breite der aktuellen Informations- und Telekommunikationstechnologien bis hin zu Multimediaanwendungen.
                          Während ihrer Arbeit setzen sie die Methoden des Software-Engineerings sowie moderne Software ein und nutzen die gesamte Breite der aktuellen Informations- und Telekommunikationstechnologien bis hin zu Multimediaanwendungen.
                          mehr
                          You co-create and prioritise AI use cases across domains, assess feasibility and value, and translate them into system and hardware requirements. * Familiarity with open-source AI stacks (e.g., vLLM, llama.cpp, ONNX Runtime, TensorRT, LiteRT LM, ExecuTorch, Llama-Stack) on embedded hardware (NPU) and comparison to proprietary frameworks with focus on latency, throughput, and energy. * Solid software development and engineering skills: Python, API technologies, CI/CD, and cloud-native deployment.
                          You co-create and prioritise AI use cases across domains, assess feasibility and value, and translate them into system and hardware requirements. * Familiarity with open-source AI stacks (e.g., vLLM, llama.cpp, ONNX Runtime, TensorRT, LiteRT LM, ExecuTorch, Llama-Stack) on embedded hardware (NPU) and comparison to proprietary frameworks with focus on latency, throughput, and energy. * Solid software development and engineering skills: Python, API technologies, CI/CD, and cloud-native deployment.
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                          Senior IT Security Engineer (m/w/d)

                          Lebensversicherung von 1871 a. G.
                          München
                          Teilweise Home-Office
                          Schnelle Bewerbung
                          Wir entwickeln Architekturstandards, -prozesse, -werkzeuge, implementieren diese und verwalten sowie beschaffen die entsprechende Soft- und Hardware für unsere Kollegen (m/w/d). * Erfahrung: Mehrjährige Berufserfahrung im Bereich IT-Security / Cyber Security Engineering.
                          Wir entwickeln Architekturstandards, -prozesse, -werkzeuge, implementieren diese und verwalten sowie beschaffen die entsprechende Soft- und Hardware für unsere Kollegen (m/w/d). * Erfahrung: Mehrjährige Berufserfahrung im Bereich IT-Security / Cyber Security Engineering.
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                          Together, we deliver customer impact through innovative model engineering and robust data pipelines. * Additionally, you collaborate with on hardware-aware model variants and performance. * You co-own latency and memory KPIs and provide models that meet budget requirements on the target hardware. * University degree in Computer Science, Engineering, or a related field. * Several years of experience in applied machine learning and model engineering.
                          Together, we deliver customer impact through innovative model engineering and robust data pipelines. * Additionally, you collaborate with on hardware-aware model variants and performance. * You co-own latency and memory KPIs and provide models that meet budget requirements on the target hardware. * University degree in Computer Science, Engineering, or a related field. * Several years of experience in applied machine learning and model engineering.
                          mehr
                          Our team sets standards for the safe and scalable AI in engineering and production. * You will architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, optimizing storage and networking for maximum throughput and cost control. * Bachelor's or Master's degree in Computer Science, Systems Engineering, or equivalent practical experience
                          Our team sets standards for the safe and scalable AI in engineering and production. * You will architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, optimizing storage and networking for maximum throughput and cost control. * Bachelor's or Master's degree in Computer Science, Systems Engineering, or equivalent practical experience
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                          Schnelle Bewerbung
                          Creating, reviewing and releasing development and flight hardware drawings and design documentation. * Master's degree in engineering or related field * 8+ years of experience in a full cycle design engineering role, including CAD, analysis, assembly and test. * 5+ years of hands-on hardware build experience * Experience with design engineering tools such as NX, TeamCenter, Solidworks, Ansys, Altair HyperWorks solutions, Nastran
                          Creating, reviewing and releasing development and flight hardware drawings and design documentation. * Master's degree in engineering or related field * 8+ years of experience in a full cycle design engineering role, including CAD, analysis, assembly and test. * 5+ years of hands-on hardware build experience * Experience with design engineering tools such as NX, TeamCenter, Solidworks, Ansys, Altair HyperWorks solutions, Nastran
                          mehr
                          Together, we deliver customer impact through innovative model engineering and robust data pipelines. * Additionally, you collaborate with on hardware-aware model variants and performance. * You co-own latency and memory KPIs and provide models that meet budget requirements on the target hardware. * University degree in Computer Science, Engineering, or a related field. * Several years of experience in applied machine learning and model engineering.
                          Together, we deliver customer impact through innovative model engineering and robust data pipelines. * Additionally, you collaborate with on hardware-aware model variants and performance. * You co-own latency and memory KPIs and provide models that meet budget requirements on the target hardware. * University degree in Computer Science, Engineering, or a related field. * Several years of experience in applied machine learning and model engineering.
                          mehr

                          Prototype Technician NEXUS - In-Field Service (m/f/d)

                          Quantum-Systems GmbH
                          Gilching bei München
                          Teilweise Home-Office
                          Du bietest technischen Support vor Ort und hilfst bei der Fehlerbehebung in den Bereichen Hardware, Software und Kommunikation – mit Unterstützung durch unser Engineering-Team im Backoffice. * Praktische Erfahrung mit Hardware- und Softwaresystemen – idealerweise im UAV-Umfeld, in der Automobilbranche, im Maschinenbau oder in der Automatisierungstechnik.
                          Du bietest technischen Support vor Ort und hilfst bei der Fehlerbehebung in den Bereichen Hardware, Software und Kommunikation – mit Unterstützung durch unser Engineering-Team im Backoffice. * Praktische Erfahrung mit Hardware- und Softwaresystemen – idealerweise im UAV-Umfeld, in der Automobilbranche, im Maschinenbau oder in der Automatisierungstechnik.
                          mehr
                          Join us as (Senior) Hardware Development Engineer (m/f/d) and work with us on changing the future! * Take responsibility for the full design cycle includingcomponentselection, schematic, layout, laboratory bench testing, design verification and integration, and handover to test engineering and production. * Support PCB industrialization activities, interface with production and test engineering, write test specifications and train test engineers and technicians. * B.Sc or M.Sc in Electrical Engineering or a comparable field. * Strong experience in hardware development across the full lifecycle of complex electronic systems.
                          Join us as (Senior) Hardware Development Engineer (m/f/d) and work with us on changing the future! * Take responsibility for the full design cycle includingcomponentselection, schematic, layout, laboratory bench testing, design verification and integration, and handover to test engineering and production. * Support PCB industrialization activities, interface with production and test engineering, write test specifications and train test engineers and technicians. * B.Sc or M.Sc in Electrical Engineering or a comparable field. * Strong experience in hardware development across the full lifecycle of complex electronic systems.
                          mehr
                          We build and operate the ML infrastructure that takes perception and vision models from experiment to production - across a data mesh of domain-owned datasets, through large-scale distributed training on Qualcomm Cloud AI 100 and NVIDIA GPU clusters, all the way to optimized, deployment-ready artefacts for resource-constrained hardware in the vehicle. * University degree in Computer Science, Engineering, or a related field.
                          We build and operate the ML infrastructure that takes perception and vision models from experiment to production - across a data mesh of domain-owned datasets, through large-scale distributed training on Qualcomm Cloud AI 100 and NVIDIA GPU clusters, all the way to optimized, deployment-ready artefacts for resource-constrained hardware in the vehicle. * University degree in Computer Science, Engineering, or a related field.
                          mehr
                          We are a team of AI engineers and AI strategists shaping the future of systems and hardware architecture. * You co-create and prioritise AI use cases across domains, assess feasibility and value, and translate them into system and hardware requirements. * Familiarity with open-source AI stacks (e.g., vLLM, llama.cpp, ONNX Runtime, TensorRT, LiteRT LM, ExecuTorch, Llama-Stack) on embedded hardware (NPU) and comparison to proprietary frameworks with focus on latency, throughput, and energy. * Solid software development and engineering skills: Python, API technologies, CI/CD, and cloud-native deployment.
                          We are a team of AI engineers and AI strategists shaping the future of systems and hardware architecture. * You co-create and prioritise AI use cases across domains, assess feasibility and value, and translate them into system and hardware requirements. * Familiarity with open-source AI stacks (e.g., vLLM, llama.cpp, ONNX Runtime, TensorRT, LiteRT LM, ExecuTorch, Llama-Stack) on embedded hardware (NPU) and comparison to proprietary frameworks with focus on latency, throughput, and energy. * Solid software development and engineering skills: Python, API technologies, CI/CD, and cloud-native deployment.
                          mehr
                          To achieve cost‑ and energy‑efficient solutions, we combine deep expertise in AI and chip design, developing tailor‑made AI models for connected vehicles worldwide - delivering maximum performance while making optimal use of available hardware. * Furthermore, you optimise AI models for embedded platforms, driving performance analysis and benchmarking, as well as runtime, compute, and memory efficiency on next-generation edge hardware. * You apply state-of-the-art compression techniques (quantisation, pruning, distillation, sparsity) to enable high-performance AI under strict real-time, energy, and hardware constraints. * Additionally, you collaborate closely with software, machine learning, and semiconductor specialists to advance hardware/software co-design, ensuring functional correctness, safety, and deterministic real-time behaviour.
                          To achieve cost‑ and energy‑efficient solutions, we combine deep expertise in AI and chip design, developing tailor‑made AI models for connected vehicles worldwide - delivering maximum performance while making optimal use of available hardware. * Furthermore, you optimise AI models for embedded platforms, driving performance analysis and benchmarking, as well as runtime, compute, and memory efficiency on next-generation edge hardware. * You apply state-of-the-art compression techniques (quantisation, pruning, distillation, sparsity) to enable high-performance AI under strict real-time, energy, and hardware constraints. * Additionally, you collaborate closely with software, machine learning, and semiconductor specialists to advance hardware/software co-design, ensuring functional correctness, safety, and deterministic real-time behaviour.
                          mehr

                          Penetration Tester (w/m/d)

                          Sogeti Part of Capgemini (Capgemini Deutschland GmbH)
                          Home-Office, Ratingen, Hamburg, Frankfurt am Main, Stuttgart, München, Nürnberg
                          Teilweise Home-Office
                          Organisation, Begleitung und Kontrolle von Security Audits und Pentests von Webapplikationen, Netzwerken oder Hardware (OIT und IoT) * Fundierte Erfahrung im Bereich der IT-Security (Webapplikationen und/oder Hardware) o Reverse Engineering o Hardware-Hacking
                          Organisation, Begleitung und Kontrolle von Security Audits und Pentests von Webapplikationen, Netzwerken oder Hardware (OIT und IoT) * Fundierte Erfahrung im Bereich der IT-Security (Webapplikationen und/oder Hardware) o Reverse Engineering o Hardware-Hacking
                          mehr

                          IT-Netzwerk Spezialist (m/w/d)

                          Software Engineering GmbH
                          München
                          Teilweise Home-Office
                          Schnelle Bewerbung
                          Software Engineering GmbH - Wir sind die SOFTWARE ENGINEERING GmbH – ein Team voller kluger Köpfe, Charaktere und Macher*innen, die gemeinsam an spannenden, innovativen Projekten arbeiten. - Installation und Konfiguration von Netzwerk-, Funk- und Kommunikationssystemen (Router, Firewalls, Server, Sensoren) auf vorhandener Hardware
                          Software Engineering GmbH - Wir sind die SOFTWARE ENGINEERING GmbH – ein Team voller kluger Köpfe, Charaktere und Macher*innen, die gemeinsam an spannenden, innovativen Projekten arbeiten. - Installation und Konfiguration von Netzwerk-, Funk- und Kommunikationssystemen (Router, Firewalls, Server, Sensoren) auf vorhandener Hardware
                          mehr
                          Schnelle Bewerbung
                          Software Engineering GmbH - Installation und Konfiguration von Netzwerk-, Funk- und Kommunikationssystemen (Router, Firewalls, Server, Sensoren) auf vorhandener Hardware
                          Software Engineering GmbH - Installation und Konfiguration von Netzwerk-, Funk- und Kommunikationssystemen (Router, Firewalls, Server, Sensoren) auf vorhandener Hardware
                          mehr
                          Schnelle Bewerbung
                          Software Engineering GmbH - Wir sind die SOFTWARE ENGINEERING GmbH – ein Team voller kluger Köpfe, Charaktere und Macher*innen, die gemeinsam an spannenden, innovativen Projekten arbeiten. - Hardware & Infrastruktur: Router, Firewalls, Switches, Wireless-Lösungen
                          Software Engineering GmbH - Wir sind die SOFTWARE ENGINEERING GmbH – ein Team voller kluger Köpfe, Charaktere und Macher*innen, die gemeinsam an spannenden, innovativen Projekten arbeiten. - Hardware & Infrastruktur: Router, Firewalls, Switches, Wireless-Lösungen
                          mehr
                          Schnelle Bewerbung
                          This role requires deep hands-on experience with Swift and Kotlin, solid engineering fundamentals, and the ability to work close to hardware, imaging, and data-heavy workflows. You will directly contribute to Custom Surgical's mission by enabling robust data capture, smooth clinical workflows, and seamless integration between mobile devices, hardware, and cloud systems. * Work close to device hardware, including camera pipelines and low-level APIs; * Collaborate with backend, cloud, and hardware teams on end-to-end solutions; * Experience working with camera APIs, media pipelines, or hardware-adjacent features; * Strong software engineering fundamentals and clean coding practices; * You are pragmatic and comfortable working close to hardware and real-world constraints. * Exposure to hardware–software integration and performance-critical systems.
                          This role requires deep hands-on experience with Swift and Kotlin, solid engineering fundamentals, and the ability to work close to hardware, imaging, and data-heavy workflows. You will directly contribute to Custom Surgical's mission by enabling robust data capture, smooth clinical workflows, and seamless integration between mobile devices, hardware, and cloud systems. * Work close to device hardware, including camera pipelines and low-level APIs; * Collaborate with backend, cloud, and hardware teams on end-to-end solutions; * Experience working with camera APIs, media pipelines, or hardware-adjacent features; * Strong software engineering fundamentals and clean coding practices; * You are pragmatic and comfortable working close to hardware and real-world constraints. * Exposure to hardware–software integration and performance-critical systems.
                          mehr
                          Schnelle Bewerbung
                          This role requires strong hands-on engineering skills across frontend and system-level functionality. You will work not only on user interfaces, but also on API integration, networking, local data handling, and hardware-adjacent features. * Work close to hardware-related features and data capture workflows; * Collaborate closely with backend, cloud, mobile, and hardware teams. * Familiarity with hardware-adjacent or system-level functionality; * You communicate clearly across engineering, product, and non-technical teams; * You enjoy mentoring others and raising the overall engineering bar.
                          This role requires strong hands-on engineering skills across frontend and system-level functionality. You will work not only on user interfaces, but also on API integration, networking, local data handling, and hardware-adjacent features. * Work close to hardware-related features and data capture workflows; * Collaborate closely with backend, cloud, mobile, and hardware teams. * Familiarity with hardware-adjacent or system-level functionality; * You communicate clearly across engineering, product, and non-technical teams; * You enjoy mentoring others and raising the overall engineering bar.
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                          Was ist das Durchschnittsgehalt für Hardware Engineering in Starnberg?

                          Durchschnittsgehalt pro Jahr
                          55.200 €

                          Das Durchschnittsgehalt für Hardware Engineering in Starnberg liegt bei 55.200 €. Gehälter für Hardware Engineering in Starnberg liegen im Bereich zwischen 47.300 € und 65.900 €.

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                          Wie viele offene Stellenangebote gibt es für Hardware Engineering Jobs in Starnberg?
                          Aktuell gibt es auf StepStone 799 offene Stellenanzeigen für Hardware Engineering Jobs in Starnberg.

                          Welche anderen Orte sind auch beliebt für Leute, die in Starnberg einen Hardware Engineering Job suchen?
                          Folgende Orte sind auch interessant für Leute, die in Starnberg einen Hardware Engineering Job suchen: München, Augsburg, Garching bei München.

                          Welche anderen Jobs sind beliebt bei Kandidaten, die nach Hardware Engineering Jobs in Starnberg suchen?
                          Wer nach Hardware Engineering Jobs in Starnberg sucht, sucht häufig auch nach Praktikum, Teilzeitkraft, Personal.

                          Welche Fähigkeiten braucht man für Hardware Engineering Jobs in Starnberg??
                          Für einen Hardware Engineering Job in Starnberg sind folgende Fähigkeiten von Vorteil: Deutsch, Kommunikation, Englisch, Entwicklung, Ingenieurwesen.

                          Wie viele offene Teilzeit-Stellen gibt es für Hardware Engineering Jobs in Starnberg?
                          Für Hardware Engineering Jobs in Starnberg gibt es aktuell 164 offene Teilzeitstellen.