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member of technical staff, product (ai agents) Jobs in Munich

senior ai engineer for the infotainment platform (f/m/x) Jobs in Munich

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application product manager ai system transformations

BMW Group

<div>
 
 Innovation Is Imagining What No One Else Can.
 
 
 
 At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every opinion is valued. It is only when expertise, highly professional processes and enjoyment of work unite that we can shape the future together.
 
 
 With our team you collaborate with experienced AI architects and engineers to build and evolve AI platform architecture, powering Android-based infotainment and large-scale vehicle software systems.
 
 
 
 What awaits you?
 
 
 
 <ul>
 <li>
 You design and own end-to-end AI and data architectures &ndash; from data ingestion and feature pipelines to model deployment and monitoring &ndash; with a strong focus on production-grade edge AI inside the vehicle.
 </li>
 <li>
 Furthermore, you build scalable platform architectures that serve multiple feature teams across the Android ecosystem (e.g. digital cockpits, infotainment features), enabling them to deliver AI-powered customer experiences reliably and at scale.
 </li>
 <li>
 You provide technical leadership for Android Automotive and its ecosystem, ensuring that AI platform decisions align with Android evolution, AOSP constraints, and long-term platform scalability.
 </li>
 <li>
 In addition, you define and evolve clear interfaces between AI platforms, Android infotainment, and application development &ndash; staying compatible with new Android versions while keeping the AI infrastructure adaptable and future-proof.
 </li>
 <li>
 You translate emerging AI requirements into production-ready platform capabilities, bridging applied research, platform engineering, and product needs.
 </li>
 <li>
 You continuously drive the AI strategy for infotainment platforms, tracking key technology trends (e.g. on-device LLMs/VLMs, multimodal interaction, agentic AI) and collaborating with leading external technology partners.
 
 
 
 </li>
 </ul>
 
 What should you bring along?
 
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in Computer Science, AI, Machine Learning, Data Science, or a related field, with hands-on experience in AI and data architecture beyond prototypes.
 </li>
 <li>
 In-depth knowledge of Android (AOSP / Android Automotive) as a production platform, including its constraints and evolution.
 </li>
 <li>
 Strong experience with AI architecture onboard and offboard, as well as implementation of Small Language Models, Vision Language Models, or autonomous driving models.
 </li>
 <li>
 Knowledge of multi-agent systems orchestration, multi-turn dialogues, and related open standards (e.g., A2A, MCP).
 </li>
 <li>
 Experience with AI training toolchains and workflows including pruning, fine-tuning, and multimodal encoding.
 </li>
 <li>
 Proficiency in Rust, C++, Kotlin, and modern, API-driven system architectures.
 </li>
 <li>
 Proven technical leadership experience in agile, cross-functional teams.
 
 
 
 </li>
 </ul>
 If you are passionate about scalable AI platforms, edge computing, and real-world impact? Apply now!
 
 
 Find out more about Artificial Intelligence at the BMW Group here.
 
 
 
 Note
 
 : Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.
 
 
 
 What do we offer?
 
 
 
 <ul>
 <li>
 Challenging projects with which we are shaping the mobility of tomorrow together.
 </li>
 <li>
 Wide range of personal and professional development opportunities.
 </li>
 <li>
 Attractive, fair and performance-related remuneration.
 </li>
 <li>
 High level of job security.
 </li>
 <li>
 Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
 </li>
 <li>
 Flexible working hours including 6 weeks annual leave and overtime compensation.
 </li>
 <li>
 Discounted BMW &amp; MINI conditions.
 </li>
 <li>
 Many other benefits at bmw.jobs/benefits
 
 
 
 </li>
 </ul>
 
 Earliest starting date:
 
 from now on
 
 
 
 Type of employment:
 
 unlimited
 
 
 
 Working hours
 
 : full-time
 
 
 When you apply, the next steps in the selection process include an online test followed by interviews with the hiring manager (either virtual or in person).
 
 
 You can find helpful tips on your application and the application process here.
 
 
 At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here.
 
 
 Senior AI Engineer for the Infotainment Platform (f/m/x)
</div>

Senior AI Engineer for the Infotainment Platform (f/m/x)

NXP Semiconductors

<div><div>AI is rapidly moving beyond research labs and into the real world&mdash;powering advancements in vehicles, factories, hospitals, homes, and everyday devices. NXP&rsquo;s Global Sales organization is the force that transforms our intelligent edge vision into meaningful market impact. We operate on the front lines of innovation, delivering real ‑ world AI, secure edge intelligence, and breakthrough technologies to the customers shaping tomorrow&rsquo;s world. As a strategic partner at the intersection of customer ambition and NXP capability, our global sales team drives alignment, opens new markets, and builds the relationships that lead to design wins and revenue growth. Through deep market insight and long ‑ term collaboration, we embed customer ‑ centricity into every decision and help accelerate innovation at the system ‑ solution level. This disciplined, client ‑ first mindset enables us to architect integrated, future ‑ ready solutions that deliver sustained value and strengthen NXP&rsquo;s competitive advantage. We thrive in a high ‑ performance, high ‑ ownership environment&mdash;competing boldly, executing with urgency, and celebrating results. If you want to win big, grow fast, and work with the customers building what&rsquo;s next, NXP Global Sales is where ambition becomes achievement.
As a key member of the team of the European Automotive Customer Application team you will be responsible for:
</div><div><ul><li>Direct interface with customer engineering and technical teams to assist the sales representatives in promoting differentiated NXP Automotive system solutions by providing technology overviews, supporting architecture and system level discussions.
</li></ul></div><div><ul><li>Support customer projects from design-in phase to production through appropriate training , board design review, configuration and support of NXP products.
</li></ul></div><div><ul><li>Collaborate and consult with internal technical support and engineering to resolve customer issues.
</li></ul></div><div><ul><li>Leverage customer meetings to gather intelligence about the customer's end product plans and relevant silicon requirements, and communicate intelligence to the product groups to participate in new products definition.
</li></ul></div><div><ul><li>Understand the competitive landscape and contribute to collateral that differentiates NXP products and system solutions.
</li></ul></div><div><ul><li>Contribute to the development of technical collateral (application notes, engineering bulletins, etc &hellip;) for our customers.
</li></ul></div><div><ul><li>Participate in technical conferences and industry shows. 
</li></ul></div><div>Your Profile
</div><div><ul><li>5+ years experience in technical customer facing applications role (AE/FAE) or HW/SW system development in Automotive applications
</li></ul></div><div><ul><li>Solid knowledge of embedded systems.
</li></ul></div><div><ul><li>Good knowledge of microcontrollers and embedded software.
</li></ul></div><div><ul><li>Experience with troubleshooting, diagnosing and resolving complex problems and board level issues and familiarity with basic JTAG debuggers &amp; lab equipment.
</li><li>Good skills in presenting complex technical subjects to a professional audience
</li><li>Must be professional, detailed, customer-oriented, self-driven and able to collaborate with interdisciplinary teams to meet customer needs.
</li></ul></div><div><ul><li>Languages: English, German. Excellent oral and written communication skills are essential. 
</li></ul></div>More information about NXP in Germany...
#LI-38ff</div>

Automotive Microcontrollers FAE (Field Application Engineer)

Anthropic

<div><div><h2 class="jobSectionHeader">About Anthropic</h2>

Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</div><div><h2 class="jobSectionHeader">
About the role</h2>

As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the DACH market.
<h2 class="jobSectionHeader">
Responsibilities</h2>
<ul>
<li>Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close
</li>
<li>Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns
</li>
<li>Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications
</li>
<li>Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices
</li>
<li>Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the DACH enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers
</li>
<li>Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency
</li>
</ul><h2 class="jobSectionHeader">You may be a good fit if you have</h2>
<ul>
<li>Native German speaker with excellent written and verbal communication skills in German and English
</li>
<li>8+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies
</li>
</ul><ul><li>Specialised sales industries experience: Telco, Manufacturing, Retail, Energy and Utilities
</li>
</ul><ul><li>A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases
</li>
<li>Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments
</li>
<li>Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies
</li>
<li>Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process
</li>
<li>Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives
</li>
<li>Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the DACH market
</li>
<li>A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities
</li>
<li>A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use
</li>
</ul><h2 class="jobSectionHeader">What We Offer</h2>
<ul>
<li>Competitive base salary and commission structure
</li>
<li>Equity participation in Anthropic's growth
</li>
<li>Comprehensive benefits package
</li>
<li>Opportunity to shape the AI industry in DACH and EMEA
</li>
<li>Professional development and career growth opportunities
</li>
</ul>Location: Munich, Germany</div><div><h2 class="jobSectionHeader"> 
Logistics</h2>

Minimum education: Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 
 
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
<h2 class="jobSectionHeader">
How we're different</h2>

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
<h2 class="jobSectionHeader">
Come work with us!</h2>

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.</div></div>

Enterprise Account Executive, Industries Generalist

Clera

<div>
 
 About The Role
 
 
 
 Join a well-funded, early-stage startup bringing AI agents to a highly specialised professional services industry. This is a hands-on, end-to-end engineering role: you will design, build, ship, and continuously improve production AI agents that automate repetitive, high-value workflows for real customers. You will work directly with those customers, translate what you observe into reliable automations, and own everything from prototype to production monitoring.
 
 
 The team moves fast, values measurable impact, and expects every engineer to take full ownership of the problems they pick up.
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Convert observed customer workflows into autonomous AI agents that perform work end-to-end.
 </li>
 <li>
 Collaborate directly with customers to understand their operations, surface automation opportunities, and iterate on solutions.
 </li>
 <li>
 Ship automations that replace hours of manual, repetitive effort and demonstrably improve user efficiency.
 </li>
 <li>
 Own production AI agents across their full lifecycle: build, deploy, monitor, and improve.
 </li>
 <li>
 Run structured experiments with new models, prompting techniques, and use cases; benchmark results and ship what works.
 </li>
 <li>
 Design thoughtful AI &times; Human interfaces that make automation practical and trustworthy for professional users.
 </li>
 <li>
 Instrument systems with observability tooling &mdash; metrics, dashboards, and alerts &mdash; to ensure reliability at scale.
 
 
 </li>
 </ul>
 What We're Looking For
 
 
 
 Must-haves (dealbreakers):
 
 
 
 <ul>
 <li>
 5+ years of experience in ML/AI product development, with a strong track record of building and delivering production-grade AI agents.
 </li>
 <li>
 Demonstrated experience shipping LLM-based systems in production (not just prototypes).
 </li>
 <li>
 Proven end-to-end ownership of production AI agents: build &rarr; deploy &rarr; monitor &rarr; improve.
 
 
 </li>
 </ul>
 
 Required skills &amp; experience:
 
 
 
 <ul>
 <li>
 Strong Python programming skills; comfortable shipping production-quality Python code.
 </li>
 <li>
 Experience turning observed real-world workflows into deployable AI automations.
 </li>
 <li>
 Ability to gather requirements directly from customers and translate them into working software.
 </li>
 <li>
 Product-minded approach &mdash; you think about the user experience, not just the model performance.
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 Experience designing AI interfaces for human-AI collaboration.
 </li>
 <li>
 Systematic experimentation and benchmarking of models and techniques.
 </li>
 <li>
 Observability and monitoring experience for AI systems (metrics, dashboards, alerting).
 </li>
 <li>
 Background in or exposure to professional services, fintech, or compliance-heavy industries.
 
 
 </li>
 </ul>
 Location
 
 
 This role is
 
 on-site in Munich, Bavaria, Germany
 
 . Candidates must be willing and able to work from the Munich office.
 
 Visa sponsorship is not available
 
 &mdash; applicants must already have the right to work in Germany.
 
 
 
 Compensation &amp; Benefits
 
 
 
 Compensation details were not specified for this role. You will be joining an early-stage, seed-funded startup where equity upside and direct impact are significant parts of the overall package. Specifics will be discussed during the interview process.
 
 
</div>

Member of Technical Staff, Product (AI Agents)

Intel Corporation

<div><h1 class="jobSectionHeader">Job Details:
</h1><h2 class="jobSectionHeader">Job Description:
</h2>A unique Software Engineering position combining advanced GPU software engineering, software and hardware architectural influence, and GPU domain expertise to help deliver leading solutions on Intel Graphics architectures to market.
In this role, you will work with software vendors, institutions, open-source communities, and internal engineering teams to enable and optimize GPU compute workloads on Intel platforms, helping ensure they run optimally on current and future Intel client systems, including laptops, desktops, and workstations. The role focuses on Vulkan-based workloads, with development and optimization work across Windows, Linux, and ChromeOS.
You will research, develop, prototype, and optimize software solutions that leverage Intel GPU capabilities and drive adoption with strategic ecosystem partners. The team supports a broad range of workloads, including content creation, media, productivity, AI/ML acceleration, and commercial applications, often spanning CPU, GPU, and NPU execution. As partner needs and Intel priorities evolve, the technology focus of the role may also evolve accordingly.
You will support software development across the full lifecycle, including feature definition, project setup, implementation, optimization, validation, and go-to-market activities. The role also involves direct engagement with independent software vendors (ISVs) and open-source communities, technical consultation, performance analysis, and close collaboration with Intel engineering teams to resolve software and platform issues.
In addition, you will provide technical feedback to Intel product, software, and architecture teams to help improve future technologies and solutions while staying current on ecosystem trends and emerging technologies. This role offers an excellent opportunity to deepen GPU engineering expertise while building strong project execution, technical influence, and customer engagement skills.
Essential Duties and Responsibilities
Responsibilities may include, but are not limited to:
<ul><li>Analyze, design, implement, debug, and optimize GPU compute software solutions and enabling technologies.
</li><li>Develop prototypes, proof-of-concepts, and performance experiments using Vulkan-based compute and related software stacks.
</li><li>Understand partner requirements and help align software-enablement activities with Intel's graphics and platform technology strategy.
</li><li>Ensure that software released by leading ISVs and ecosystem partners runs optimally on Intel client platforms.
</li><li>Perform workload characterization, bottleneck analysis, debugging, profiling, benchmarking, and performance tuning on Intel and competitive platforms.
</li><li>Collaborate with partners and internal teams on software architecture, implementation, validation, and optimization across Windows, ChromeOS, and Linux.
</li><li>Provide technical consultation, training, and hands-on engineering support to software developers and ecosystem partners.
</li><li>Interface with Intel engineering teams to resolve driver, runtime, compiler, operating system, middleware, and platform issues affecting customer success.
</li><li>Author technical documentation, presentations, whitepapers, and training materials for internal and external stakeholders.
</li><li>Contribute technical feedback to Intel software, platform, and architecture teams to help improve future technologies and capabilities.
</li><li>Investigate emerging industry trends, APIs, frameworks, and workload patterns to identify new opportunities for Intel platform optimization and ecosystem engagement.
</li><li>Support cross-functional execution across engineering, product, planning, and go-to-market activities.
</li></ul><h2 class="jobSectionHeader">Qualifications:
</h2>Required Qualifications
<ul><li>Master's degree or equivalent in Computer Science, Electrical Engineering, Computer Engineering, or a related scientific or engineering discipline.
</li><li>Strong experience in low-level GPU programming, including compute pipeline development.
</li><li>Expert experience with Vulkan API.
</li><li>Advanced experience programming in modern C and C++.
</li><li>Experience with performance profiling, debugging, and optimization of GPU or heterogeneous applications.
</li><li>Solid understanding of CPU and GPU architecture, or related processor and SoC architectures.
</li><li>Working knowledge of Windows, Linux, and ChromeOS software environments.
</li><li>Strong problem-solving, communication, and collaboration skills.
</li><li>Self-motivated, independent, and able to work effectively across organizational boundaries.
</li>Excellent verbal and written English communication skills. 
<li>
 
</li></ul>Preferred Qualifications
<ul><li>Ph.D. in Computer Science, Electrical Engineering, or a related field.
</li><li>Experience with heterogeneous programming models such as SYCL, OpenCL, CUDA, or similar compute APIs.
</li><li>Familiarity with AI/ML acceleration, media processing, or compute-offload workflows on CPU, GPU, and NPU architectures.
</li><li>Experience with shader programming, SPIR-V, GPU runtimes, compiler toolchains, or driver interactions.
</li><li>Experience with Intel software and performance tools such as Renderdoc, VTune&trade;, oneAPI tools, or related toolchains.
</li><li>Experience with additional APIs or frameworks such as OpenGL, DirectX, Metal, or other graphics and compute interfaces.
</li><li>Experience with software benchmarking, validation, regression analysis, and performance triage.
</li><li>Experience working with external software partners, customers, or open-source communities.
</li><li>Strong presentation skills and the ability to communicate effectively with highly technical audiences.
</li>Additional language skills are a plus. 
<li>
</li></ul><h2 class="jobSectionHeader">Job Type:
</h2>Experienced Hire
<h2 class="jobSectionHeader">Shift:
</h2>Shift 1 (Germany)
<h2 class="jobSectionHeader">Primary Location:
</h2>Germany, Munich
<h2 class="jobSectionHeader">Additional Locations:
</h2>France, Paris, Ireland, Leixlip, Israel, Haifa, United Kingdom, Great Britain
<h2 class="jobSectionHeader">Business group:
</h2>The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.
<h2 class="jobSectionHeader">Posting Statement:
</h2>All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
<h2 class="jobSectionHeader">Position of Trust
</h2>N/A 
<h2 class="jobSectionHeader">EU Salary
</h2>We offer a total compensation package that ranks among the best in the industry.
Annual Salary Range for this job which could be performed in Germany is: 72 030,00 &euro; - &euro;130,300.00&amp;#xa;&amp;#xa;The compensation range displayed in this posting reflects the minimum and maximum target compensation for this position. Within this range, individual pay is determined by job related skills, experience, and relevant education, training. As part of our total compensation approach, the final offer may include additional pay components and benefits. Your recruiting team will share the confirmed base salary along with any applicable total compensation elements upon employment offer delivery.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
<ul><li></li></ul></div>

Software Enabling and Optimization Engineer – GPU Compute (Vulkan / Cross-OS) (f/m/d)

<div><h1 class="jobSectionHeader">Job Details:
</h1><h2 class="jobSectionHeader">Job Description:
</h2>A unique Software Engineering position combining leading-edge media software engineering work with software and hardware architectural influence and deep GPU/media domain expertise to deliver industry-leading hardware-accelerated video solutions on Intel Graphics architecture to the market.
In this role, you will work with leading open-source media communities (FFmpeg, HandBrake, VLC, etc.), independent software vendors, broadcasters, and content-creation partners, as well as internal Intel engineering teams, to ensure that hardware-accelerated encode, decode, transcode, and video-processing pipelines run optimally on Intel client and workstation platforms.
You will utilize deep expertise in Intel&reg; Quick Sync Video (QSV), oneVPL/VPL, Video Acceleration APIs (VA-API on Linux, D3D11/12 Video on Windows), and modern codec standards (AVC/H.264, HEVC/H.265, AV1, VP9, VVC) to research, develop, prototype, and upstream contributions that drive adoption of Intel media capabilities across the open-source ecosystem.
The team covers a broad spectrum of media use cases&mdash;from professional video transcoding farms and live streaming to consumer content creation, screen recording, and AI-assisted media workflows leveraging hardware-accelerated media engines combined with GPU- and NPU-accelerated machine-learning components, such as super-resolution, denoising, scene detection, and frame interpolation.
You will support and influence software development during all phases of the lifecycle, including feature definition, project setup, execution, upstream review and integration, and go-to-market activities. You will also provide technical training, consultation, and hands-on assistance to open-source maintainers and ISV developers on media architecture, software development, Intel media technologies, testing, and performance tuning.
You will engage with open-source maintainers and ISV partners to provide performance analysis and technical guidance throughout the software lifecycle, interface with Intel engineering groups to resolve issues affecting customer and community success, and provide technical feedback to Intel product and engineering teams to help improve future media technologies and solutions.
You will serve as the voice of the open-source media ecosystem within Intel&mdash;researching emerging codecs and standards, staying current with industry advancements, and working closely with industry leaders and community maintainers to help influence Intel's media software and hardware technologies.
This position offers an excellent opportunity to develop advanced media engineering expertise, strengthen open-source community engagement and project leadership skills, and build relationships with key partners across the media, streaming, and content-creation industries.
Essential Duties and Responsibilities
<ul><li>Analyze, design, develop, debug, and upstream software enhancements to FFmpeg, HandBrake, and related open-source media projects (e.g., GStreamer, VLC, OBS, x264/x265, SVT-AV1, dav1d).
</li><li>Develop, optimize, and maintain Intel&reg; Quick Sync Video code paths through oneVPL/VPL, libmfx, VA-API, and D3D11/12 Video backends.
</li><li>Understand community and ISV requirements and help align partner products and open-source development efforts with Intel's media and graphics technology strategy.
</li><li>Ensure that media applications and frameworks released by leading vendors and open-source communities run best on Intel's current and future client and workstation platforms.
</li><li>Drive upstream contributions by authoring patches, participating in code reviews on FFmpeg mailing lists and HandBrake GitHub repositories, and acting as a trusted Intel representative within maintainer communities.
</li><li>Conduct workload, quality (PSNR, SSIM, VMAF), and performance analyses of hardware-accelerated encode, decode, and transcode pipelines on Intel and competitive platforms.
</li><li>Author technical presentations, blog posts, conference talks, and training materials to share best practices related to Intel media acceleration technologies.
</li><li>Contribute to Intel software and hardware development by providing technical feedback from real-world open-source workloads to media architecture, driver, and product teams.
</li><li>Identify optimization opportunities by running real-world transcoding, streaming, and AI-enhanced media workloads on Intel media engines, GPU cores, and NPU resources.
</li></ul><h2 class="jobSectionHeader">Qualifications:
</h2>Required Qualifications
<ul><li>Degree or equivalent experience in a scientific or engineering discipline.
</li><li>Advanced experience programming in modern C and C++.
</li><li>Advanced experience with hardware-accelerated video programming using one or more of the following:
<ul><li>Intel&reg; Quick Sync Video / oneVPL / libmfx
</li><li>VA-API
</li><li>DXVA and Direct3D 11/12 video on Windows
</li><li>NVENC/NVDEC
</li><li>Equivalent technologies
 
</li></ul></li><li>Hands-on experience contributing to or extending FFmpeg, HandBrake, or comparable open-source media projects (e.g., libav, GStreamer, x264/x265, SVT-AV1, dav1d).
</li><li>Solid understanding of modern video codec standards (AVC/H.264, HEVC/H.265, AV1, VP9, and awareness of VVC).
</li><li>Understanding of media containers and streaming protocols such as MP4, MKV, MPEG-TS, RTMP, SRT, HLS, and DASH.
</li><li>Strong problem-solving, communication, and collaboration skills, including the ability to work effectively within public mailing lists and open-source review processes.
</li><li>Self-motivated and capable of working independently.
</li>Excellent written and verbal English communication skills. 
<li>
 
</li></ul>Additional Qualifications
<ul><li>Ph.D. in Computer Science, Electrical Engineering, or a related field.
</li><li>Demonstrated record of accepted upstream patches in FFmpeg, HandBrake, or related projects (please provide commit or pull request links).
</li><li>Experience with oneVPL/VPL runtime, Intel Media SDK legacy stack, or Intel Graphics media driver components (e.g., media-driver, libva, intel-vaapi-driver).
</li><li>Experience with AI-assisted media workloads such as super-resolution, denoising, frame interpolation, and scene or shot detection using OpenVINO&trade;, DirectML, ONNX Runtime, or PyTorch.
</li><li>Experience with low-level GPU programming using Vulkan Video, OpenGL, DirectX, Metal, or compute APIs such as SYCL, DPC++, OpenCL, or CUDA.
</li><li>Experience with Intel software development and performance analysis tools such as VTune&trade;, Graphics Trace Analyzer, Metrics Discovery API, Intel&reg; C/C++ Compiler, or TBB.
</li><li>Proven experience with performance profiling, debugging tools, and bitstream analysis for media applications.
</li><li>Understanding of CPU, GPU, fixed-function media IP, SoC, or DSP architectures.
</li><li>Working knowledge of Windows and Linux development environments, including building, packaging, and CI workflows for open-source media stacks.
</li><li>Familiarity with streaming and broadcast workflows, including OBS, FFmpeg-based ingest pipelines, live transcoding, and quality metrics tools such as VMAF and SSIMULACRA2.
</li><li>Experience managing relationships with open-source maintainers and ISV partners.
</li><li>Experience planning and executing software projects, benchmarking, and CI-driven validation of media software stacks.
</li>Additional language skills are a plus. 
<li>
</li></ul><h2 class="jobSectionHeader">Job Type:
</h2>Experienced Hire
<h2 class="jobSectionHeader">Shift:
</h2>Shift 1 (Germany)
<h2 class="jobSectionHeader">Primary Location:
</h2>Germany, Munich
<h2 class="jobSectionHeader">Additional Locations:
</h2>France, Paris, Ireland, Leixlip, Israel, Tel Aviv, United Kingdom, Great Britain
<h2 class="jobSectionHeader">Business group:
</h2>The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.
<h2 class="jobSectionHeader">Posting Statement:
</h2>All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
<h2 class="jobSectionHeader">Position of Trust
</h2>N/A 
<h2 class="jobSectionHeader">EU Salary
</h2>We offer a total compensation package that ranks among the best in the industry.
Annual Salary Range for this job which could be performed in Germany is: 62 220,00 &euro; - &euro;112,550.00&amp;#xa;&amp;#xa;The compensation range displayed in this posting reflects the minimum and maximum target compensation for this position. Within this range, individual pay is determined by job related skills, experience, and relevant education, training. As part of our total compensation approach, the final offer may include additional pay components and benefits. Your recruiting team will share the confirmed base salary along with any applicable total compensation elements upon employment offer delivery.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
<ul><li></li></ul></div>

Software Optimization Engineer – GPU / Hardware-Accelerated Media (FFmpeg / HandBrake / Intel® Quick Sync Video) (f/m/d)

parcelLab

<div>At parcelLab, we&rsquo;re reshaping how the world&rsquo;s leading brands manage the post-purchase experience.
Our post-purchase platform helps companies like John Lewis, Chico's, Yeti, AllSaints, and others transform every touchpoint into moments that drive customer engagement, build loyalty, and create customers for life.
We&rsquo;re looking for a Senior Backend Engineer - a product‑focused builder with strong experience to help evolve our Returns Portal, a white‑label SaaS used by customers in 175+ countries. You&rsquo;ll work on a large‑scale Django application with a modern Python toolchain (uv/mypy/Ruff/Pydantic) and a server‑driven UI stack (HTMX/Alpine).<h3 class="jobSectionHeader">
The role:</h3>
You will design and evolve the backend systems behind our returns experiences&mdash;owning problems end‑to‑end: clarify outcomes, collaborate with Product and Design, and ship reliable, observable services that make returns fast, clear, and correct.<h3 class="jobSectionHeader">
What you&rsquo;ll do:</h3><ul><li>
Lead services &amp; workflows from concept to impact: model data, implement APIs and jobs, instrument, launch, and iterate.</li><li>
Design and evolve domain models &amp; rules for returns (RMAs, eligibility, routing, bundles) with safe migrations and clear boundaries.</li><li>
Build and maintain APIs (REST/GraphQL) and endpoints that power our server‑driven UI (HTMX/Alpine).</li><li>
Integrate with commerce systems (e.g., Shopify) and order/warehouse tools: design and operate API/webhook integrations, keep orders and RMAs in sync, and ensure idempotent, reliable synchronization and backfills.</li><li>
Raise the bar on engineering practices: typing (mypy), validation (Pydantic), code quality (Ruff), CI/CD, and thoughtful reviews.</li><li>
Own quality in production: monitor performance and error rates; fix what you ship.</li></ul><h3 class="jobSectionHeader">
What we&rsquo;re looking for:</h3><ul><li>
Proficiency with Python in production, ideally (nice to have) with Django.</li><li>
Strong SQL fundamentals, relational modeling, and safe migrations.</li><li>
Experience building APIs (REST) and working with job queues.</li><li>
Comfort with modern Python tooling: uv, mypy, Ruff, Pydantic.</li><li>
Testing mindset (unit/integration) and continuous delivery know‑how.</li><li>
Evidence of agency: stories where you drove an outcome end‑to‑end.</li></ul><h3 class="jobSectionHeader">
Bonus Points:</h3><ul><li>
Experience with server‑driven UIs (Django templates + HTMX/Alpine).</li><li>
Tailwind CSS and solid CSS fundamentals (layout, responsive, a11y) for pragmatic UI tweaks in server‑rendered templates.</li><li>
Shopify ecosystem exposure (Admin API, webhooks, embedded apps).</li><li>
E‑commerce/returns domain familiarity (bundles, routing, warehousing).</li><li>
Observability and SLO practice (metrics, tracing, error budgets); performance tuning in Django at scale.</li></ul><h3 class="jobSectionHeader">
Our stack:</h3>
(you don&rsquo;t need all of this)
Python 3.14, Django, HTMX/Alpine.js (server‑driven UI), mypy, Ruff, Pydantic, uv; PostgreSQL (relational), Redis, a job queue (Celery), REST API / GraphQL, AWS, Terraform, GitHub Actions, feature flags, Sentry/Datadog observability.<h4 class="jobSectionHeader">
Why join parcelLab:</h4><ul><li>
You&rsquo;ll join a passionate and collaborative global team with plenty of room to grow</li><li>
Competitive salary + benefits</li><li>
A culture that values creativity, experimentation, and ownership</li></ul><h4 class="jobSectionHeader">
Perks &amp; Benefits:</h4>
Plenty of room for your own ideas...space to try, fail and learn!
Comprehensive 30-60-90 day onboarding plan in place from the very first day to help you integrate seamlessly with the rest of the company and understand new responsibilities
Equipped with the latest MacBook or PC, as a digital-first company, you choose whether to work entirely from home, in one of our offices or a mix that suits you. Not close to one of our offices No problem! Find yourself a co-working space instead, and we&rsquo;ll help cover the costs
Career development opportunities, including our Leadership Development Program, as well as online language courses, available budgets for further training
&zwj;️ Stay grounded with our free meditation, mindfulness and coaching sessions via our mental wellbeing platform TELUS.health
Regular company retreats, parcelLab events (in-person and online), local and regional meet-ups, as well as team off-sites
Be part of a motivated, diverse and international team made up of over 25 different nationalities; and with a great rating for company culture and employee experience on Glassdoor, you&rsquo;ll love working here!<h4 class="jobSectionHeader">
About parcelLab:</h4>
parcelLab&rsquo;s platform unifies every touchpoint from customer conversion, order tracking, delivery, returns, and engagement into one seamless ecosystem that not only reduces friction but actively drives repeat purchases, transforming post-purchase into a competitive advantage.
It&rsquo;s all in a day&rsquo;s work for us:<ul><li>
Monitor over six million shipments per day</li><li>
175+ countries across the globe use our tracking pages</li><li>
1000+ brands use parcelLab for their post-purchase experience</li><li>
Shipping data comes from more than 350+ carriers worldwide, including DHL, FedEx &amp; DPD</li><li>
150+ employees around the globe, driving innovation together</li></ul>
Equal Opportunities:
parcelLab is an Equal Opportunities Employer. We live the motto always joy, always team, always equality, which means we celebrate diversity and do not accept any form of discrimination or harassment. We believe that diversity enriches our employee experience and allows each of us to deliver the best work possible.
Qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, disability status or other lived experience.
Come be part of our growth &ndash; contribute your ideas and share in our success as we continue to improve the post-sales customer journey for millions of people every day.</div>

Senior Backend Engineer

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