(senior) software engineer - robotic applications

director, it engineering - end user support

senior applied ai / ml data engineer (f/m/x)

(junior) cloud site reliability engineer (network) (m/f/x)

(senior) engineer, software ivv test & integration, iris2

senior devops engineer

(senior) software engineer (f/m/x) Jobs in Munich

(senior) software engineer (f/m/x)

(senior) software engineer - robotic applications Jobs in Munich

ai engineer (m/w/d)

ai software engineer (f/m/d) Jobs in Munich

ai software engineer (f/m/d)

software engineer developer

Apple

Do you want to help define the future of delivering Apple software to customers? Join the Insights &amp; Release Technologies team to develop productivity products focused on optimizing the engineering workflows, so that we can deliver amazing software and experiences to millions of Apple users faster. 
 
Our team has a passion for innovation and engineering and is looking for individuals with a genuine excitement to collaborate with others to solve sophisticated problems with a focus on the user experience. 
 
Description 
We are looking for a passionate UI Developer who cares deeply about user experience and writing code that is as beautiful as the products it powers. 
 
We welcome candidates with deep expertise in either web or native macOS development. You'll have the opportunity to leverage your strengths while expanding your skills across platforms, working with a team that values strong fundamentals and a growth mindset.&quot;,&quot;responsibilities&quot;:&quot; 
In this role, you will design and build productivity applications used by Apple engineers across web and native macOS platforms. Your responsibilities will include: 
Developing and maintaining high-performance applications across web and native macOS platforms. 
Rapidly prototyping new features and iterating based on user feedback. 
Partnering with designers and engineers to deliver world-class features. 
Contributing to design systems and ensuring consistency across platforms. 
Writing clean, well-tested code and mentoring other engineers. 
Owning features from concept through to release and post-launch support. 
 
Preferred Qualifications 
Experience in both web and native macOS development. 
Understanding of design principles and animations. 
Familiarity with build tools, testing frameworks, and APIs. 
Comfortable exploring emerging tools and technologies. 
 
Minimum Qualifications 
Expertise in either web technologies (JavaScript/TypeScript, Vue.js, React) or native macOS (Swift, SwiftUI). 
Experience building dashboards, data visualizations, and implementing design systems. 
Ability to rapidly prototype and iterate based on user feedback. 
Strong problem-solving and communication skills.

Software Engineer - UI Developer (Web & Native), Insights & Release Technologies

SciPro

<div>
 
 Senior Software Engineer
 
 
 We are seeking a Senior Software Engineer to join a cross-functional R&amp;D team developing high-performance software for advanced visualization and imaging platforms. The role involves designing, developing, and maintaining application software using modern C++, with a focus on performance, reliability, and user experience.
 
 
 
 
 
 Responsibilities
 
 <ul>
 <li>
 Design, develop, and maintain application software using modern C++ (C++17 or newer)
 </li>
 <li>
 Develop user interfaces using Qt and QML
 </li>
 <li>
 Build and maintain automated tests using tools such as Squish
 </li>
 <li>
 Collaborate with hardware, systems, and product teams in an Agile Scrum environment
 </li>
 <li>
 Participate in sprint planning, reviews, retrospectives, and daily stand-ups
 </li>
 <li>
 Contribute to CI/CD pipelines and software delivery processes
 </li>
 </ul>
 
 
 
 
 Requirements
 
 <ul>
 <li>
 Strong experience with modern C++ software development
 </li>
 <li>
 Experience with Linux-based systems
 </li>
 <li>
 Proficiency with Git and CI/CD workflows
 </li>
 <li>
 Experience with Qt/QML development
 </li>
 <li>
 Strong understanding of software architecture, testing, and debugging
 </li>
 <li>
 Ability to work effectively within distributed, cross-functional teams
 </li>
 </ul>
 
 
 
 
 Nice to Have
 
 <ul>
 <li>
 Experience with AI-assisted software development tools
 </li>
 <li>
 Knowledge of video streaming, image processing, or multimedia pipelines
 </li>
 <li>
 Experience with NVIDIA GPU technologies and CUDA development
 </li>
 <li>
 Python programming skills
 </li>
 <li>
 Experience in regulated or safety-critical industries
 </li>
 </ul>
 
 
 
</div>

Software Engineer

Speechify

<div>The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do
<ul>
<li>Be scrappy to find new sources of audio data and bring it into our ingestion pipeline</li>
<li>Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.</li>
<li>Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.</li>
<li>Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>BS/MS/PhD in Computer Science or a related field.</li>
<li>5+ years of industry experience in software development.</li>
<li>Proficiency with bash/Python scripting in Linux environments</li>
<li>Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)</li>
<li>Experience with web crawlers, large-scale data processing workflows is a plus</li>
<li>Ability to handle multiple tasks and adapt to changing priorities.</li>
<li>Strong communication skills, both written and verbal.</li>
</ul>
What we offer
<ul>
<li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
The Germany Based Salary range for this role is: 30,000-120,000 USD/Year + Bonus + Stock depending on experience.

Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
 
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</div>

Software Engineer, Data Infrastructure & Acquisition - Munich, Germany

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent practical experience.
 </li>
 <li>
 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
 </li>
 <li>
 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
 </li>
 <li>
 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
 </li>
 <li>
 Experience programming in Python.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Computer Science or related technical fields.
 </li>
 <li>
 2 years of experience with data structures and algorithms.
 </li>
 <li>
 Experience testing, maintaining, or launching distributed software and developing in a cloud environment.
 </li>
 <li>
 Ability to learn new technologies in Chrome.
 </li>
 <li>
 Ability to be aware of the problems and to keep user journey's in mind.
 </li>
 <li>
 Familiarity with Agentic workflows and using Large Language Models (LLMs) to actuate the web.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 As part of the Chrome Identity and Context organization, our team has invested safely and conveniently bringing the user's data to their web journeys. Users love Autofill: When presented with the choice between typing an address and autofilling it, two-thirds of Android users chose the latter. By autofilling an address, users save over half of their time interacting with the form and they even submit more forms.
 
 
 The world of Autofill is complex: Address formats vary globally, credit cards and other forms of payment are sensitive parts of shopping journeys, and identity documents need to be handled securely. We help users interact with their data from across the Google ecosystem, including from Google Wallet or GMail.
 
 
 Chrome is dedicated to building a better, more open web. We&rsquo;re focused on making a better browser (on both desktop and mobile) to help users take advantage of all the web has to offer in a safe and secure way.Chrome is available across all major platforms &mdash; iOS, Android, Windows, Mac, Linux and Chrome OS. We also built Chrome as an open source project so the entire web ecosystem could benefit from the latest innovations in speed, simplicity and security.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
 Germany: &euro;106000 - &euro;109000 (EUR) + 15% bonus target + equity + benefits
 
 
 
 Responsibilities
 
 
 
 Learn more about benefits at Google .
 
 
 <ul>
 <li>
 Develop and launch models and infrastructure focused on enabling AI experiences in Chrome.
 </li>
 <li>
 Participate in design and code reviews for teammates and other Google/Chrome teams.
 </li>
 <li>
 Collaborate with product managers and other engineers to turn requirements into technical solutions, deploy experiments, define datasets, perform evals and analyze results.
 </li>
 <li>
 Work independently on assigned tasks and turn high-level objectives into concrete engineering plans.
 </li>
 <li>
 Implement models within a system that agentically drives web sites with high quality.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer III, AI/ML, Chrome Autofill

Apex.AI

<div>
 
 Want to work on Software-Defined Defense?
 
 
 At Apex.AI, we develop safety-certified software for mobility systems and intelligent machines. Our products power applications in automotive, trucking, robotics, aerospace, agriculture, industrial automation, and defense systems.
 
 
 We are hiring a Senior DevOps Engineer to design and scale Apex.AI's build and release systems. You will architect and implement our build and release system solutions, which impact developer productivity company-wide and ensure that customers receive high-quality products in a timely manner.
 
 
 In this role, you will work directly with European defense customers and internal product teams to design, build, deploy, and Apex.Alan. You will help customers bring real-world systems to production while contributing improvements and features back into our core platform. Find out more about Apex.Alan here and here.
 
 
 This role is located in our Munich office. Authorization to work in Germany and German language skills are required.
 
 
 
 What You Bring
 
 
 
 <ul>
 <li>
 B.S. or higher degree in a technical field with 5+ years of relevant work experience
 </li>
 <li>
 Proven experience working with cloud infrastructure on AWS, Azure, or GCP
 </li>
 <li>
 Proven experience maintaining a cross-platform build system
 </li>
 <li>
 Proven experience managing CI/CD pipelines
 </li>
 <li>
 Proven ability to script in Python and Starlark
 </li>
 <li>
 Proven experience developing Bazel infrastructure
 </li>
 <li>
 Proven experience building C/C++ projects with Bazel
 </li>
 <li>
 Familiarity with GitLab or GitHub
 </li>
 <li>
 Experience navigating Linux-based systems and tools in a terminal
 </li>
 <li>
 Excellent troubleshooting skills
 </li>
 <li>
 Excellent communication skills
 </li>
 <li>
 German language skills
 
 
 
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Experience with infrastructure management tools such as Terraform
 </li>
 <li>
 Experience with Bazel internals
 </li>
 <li>
 Familiarity with releasing code and binaries to customers
 </li>
 <li>
 Familiarity with cross-compilation
 </li>
 <li>
 Experience with the usage of CMake
 
 
 
 
 
 </li>
 </ul>
 Apex.AI is an international software company specializing in the development of safety-certified, developer-friendly, and scalable software for mobility systems, aiming to accelerate the transition to software-defined vehicles and mobility. Founded in 2017 by Jan Becker and Dejan Pangercic, the company is headquartered in Palo Alto, California, with additional offices in Munich, Stuttgart, Gothenburg, Tokyo, and Pangyo. To date, Apex.AI has raised over $75 million USD from world-class venture, financial and strategic investors including AGCO, Airbus Ventures, Canaan, Continental AG, Daimler Truck, HELLA Ventures, Jaguar Land Rover&rsquo;s InMotion Ventures, LG Electronics, Lightspeed, Orillion, Toyota Ventures, Volvo Group Venture Capital and ZF.
 
 
 The company&rsquo;s flagship product, Apex.OS, consists of two core components: Apex.Grace and Apex.Ida.
 
 
 
 <ul>
 <li>
 Apex.Grace is an application runtime framework in the form of a software development kit (SDK). It provides a robust framework for developing real-time, reliable, and safe applications. Core APIs are based on ROS 2 APIs with numerous extensions enabling real-time execution, reliable performance, deployment into large fleets, system state management, safety, security, and much more. It is safety-certified to ISO 26262 ASIL D
 </li>
 <li>
 Apex.Ida is a communication middleware delivering optimal high-performance data transport across use cases. These use cases range from fully autonomous vehicles with dozens of high-resolution cameras to small signals with ultra-high frequencies in safety-critical domains. Its core is based on a shared memory data transport with connectors into DDS, SOME/IP, MQTT, CAN, and many more protocols, all abstracted into a single application-facing API
 
 
 
 
 
 </li>
 </ul>
 Additionally, Apex.AI offers:
 
 
 
 <ul>
 <li>
 Apex.Alan provides customers with a highly optimized and efficient software integration, development environment, build, test, and delivery process
 </li>
 <li>
 Apex.OS for V&amp;V enables record and playback of very large and diverse data streams, both time- and data-deterministically, which is crucial for replay, analysis, and performance evaluation of complex autonomous systems
 
 
 
 
 
 </li>
 </ul>
 Apex.AI&rsquo;s software solutions are utilized across a diverse range of industries, including automotive, agriculture, medical, and defense sectors. The products enable developers to efficiently create and deploy safe, reliable, and high-performance applications, thereby accelerating the adoption of software-defined mobility systems. Through its innovative software solutions and strategic partnerships, Apex.AI is at the forefront of transforming the mobility industry, facilitating the development of next-generation vehicles and systems.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Senior DevOps Engineer

NVIDIA

<div>We are looking for a Senior Software Engineer, Applied AI Systems, to build production AI / ML and agentic solutions. We need a hands-on senior engineer who can turn ambiguous technical problems into durable software systems and AI-enabled systems: agents, workflow services, APIs, data pipelines, tool integrations, evaluation and benchmarking harnesses, reference architectures, and operational tooling.
We work at the intersection of applied AI, agentic workflows, software engineering, distributed systems, performance engineering, accelerated computing, and data infrastructure. In this role, you will build AI systems as real software systems: write and review high-quality code, make architecture tradeoffs, benchmark behavior and performance, and outcomes from prototype through validation, hardening, deployment, and ongoing support. This is an opportunity to shape how production applied AI systems are built, measured, and reused inside NVIDIA!
We partner across global teams and time zones for design reviews, planning, debugging, support critical issues, and technical decision-making. We need an engineer who turns complex requirements into clear technical plans, keeps the focus on reusable software capability rather than one-off delivery, and drives execution across teams.
What you will be doing:
<ul><li>Build and own production-grade applied AI systems for NVIDIA&rsquo;s technical and solution development use cases, including agentic solutions where they materially improve the systems and softwares.</li><li>
Design and build agentic workflows and the software around them: workflow services, APIs, retrieval, MCP/A2A-style tool integrations, agent harnesses, automation, telemetry, operational controls, and human oversight.</li><li>
Design reliable services, APIs, workflow state, event-driven execution, and observability using systems such as Kafka, ClickHouse, and OTel-style patterns.</li><li>
Translate complex technical and operational requirements into clear system designs, plans, interfaces, measurable outcomes, and pragmatic technical decisions through design reviews, code reviews, and clear communication.</li><li>
Develop production software in Python and other relevant languages, with strong testing, observability, CI/CD, documentation, and operational practices.</li><li>
Build performance and benchmarking workflows for existing production solutions or products, including validation harnesses, regression tests, tracing, metrics, failure analysis, latency, throughput, reliability, resource usage, and AI/inference behavior where relevant.</li><li>
Improve standard solution patterns alongside larger applied AI systems, working with NVIDIA engineering and solution teams to codify repeated patterns, product gaps, and field lessons into APIs, services, reference architectures, playbooks, test harnesses, and shared engineering building blocks.</li><li>
Debug and support production solutions across software, infrastructure, AI models, data pipelines, inference services, and GPU-accelerated environments, turning recurring support patterns into product or platform improvements.</li></ul>
What we need to see:<ul><li>
BS, MS, or PhD in Computer Science, Engineering, AI/ML, or equivalent experience, with 5+ years of professional software engineering experience owning production systems or meaningful platform components.</li><li>
Hands-on experience with LLM, generative AI, RAG, agentic AI, MCP or intelligent AI technologies beyond simple prompting or notebooks, including tool use, retrieval, evaluation, guardrails, orchestration, or human-in-the-loop control.</li><li>
Strong Python engineering skills and practical experience with at least one additional production programming language such as C++, Go, Rust, or TypeScript.</li><li>
Demonstrated ability to develop and build distributed systems, backend services, data pipelines, workflow orchestration, APIs, or developer platforms using production environments like Kafka, ClickHouse, PostgreSQL, Redis, object storage, Kubernetes, or similar technologies.</li><li>
Strong system design and operational judgment, including reliability, latency, cost, security, privacy, scalability, debuggability, maintainability, performance analysis, benchmarking, profiling, or capacity evaluation.</li><li>
Excellent debugging and problem-solving skills across software, infrastructure, AI systems, and performance bottlenecks.</li><li>
Proven ownership of ambiguous, cross-team engineering work, with ability to collaborate with distributed teams spanning US Pacific, EMEA, and APAC timezones.</li><li>
Required : Strong written and verbal communication skills in English.</li></ul>
Ways to stand out from the crowd:
<ul><li>Experience building real-world AI implementations, agent tools, MCP-compatible modules, A2A-style bridges, agent frameworks, evaluation frameworks, or RAG systems used by real users.</li><li>
Familiarity with NVIDIA GPU, AI Software Technologies such as NVIDIA NIM, NeMo Agent Toolkit, CUDA and Agentic AI development frameworks</li><li>
Open-source contributions, technical papers, patents, conference talks, engineering blogs, or major internal engineering artifacts</li></ul>
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Widely considered to be one of the technology world&rsquo;s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/</div>

Senior Software Engineer, Applied AI

<div>We are seeking a highly technical and strategic Senior Developer Relations Manager to join our team, with a focus on engaging developer ecosystems across emerging technology domains. In this pivotal role, you will work directly with software solution providers (iSVs), developers, and professionals from the Automotive &amp; Mobility industry to foster the adoption of NVIDIA&rsquo;s advanced AI and computing platforms. The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve
complex, real-world challenges.
What You'll Be Doing:<ul><li>
Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in Automotive &amp; Mobility, with multi-functional partners to drive adoption of NVIDIA technologies.</li><li>
Accelerate critical workloads by demonstrating ground breaking solutions that integrate the core NVIDIA stack into Enterprise developer products, platforms, and pipelines.</li><li>
Advise on the technical enablement resources&mdash;such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems in the Automotive &amp; Mobility Enterprises, such as Supply Chain optimization, Factory Digitization &amp; Automation, and/or Agent-supported Industrial Engineering</li><li>
Guide partners and startups through onboarding and integration with NVIDIA&rsquo;s programs, fostering co-innovation and the development of next-generation solutions.</li><li>
Map, track, and supervise the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.</li><li>
Collaborate multi-functionally with solution architects, engineering, product management, account managers, and marketing to drive developer engagement and optimize partner adoption strategies.</li><li>
Engage with partner engineering teams, technical leaders, and decision-makers to identify goals, tackle technical challenges, and promote best practices for successful integrations.</li><li>
Represent and advocate for the partner technical needs and feedback to NVIDIA&rsquo;s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.</li></ul>
What We Need to See:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field (or equivalent experience).</li><li>
A minimum of 8+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience in Automotive (or similar) industry</li><li>
Proven experience leading, partnering, and scaling developer programs at major technology companies, Automotive ISVs, or within relevant verticals.</li><li>
Significant technical proficiency in high-performance computing, cloud, AI/ML, and/or Automotive-specific frameworks and libraries (e.g., CAE/CAD, Factory simulation)</li><li>
Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers to executives.</li><li>
Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops</li><li>
Proven ability to structure and implement sophisticated technical engagements, negotiate requirements, prioritize issues, and collaborate with internal and external stakeholders (across sales, legal, product or marketing teams as needed).</li></ul>
Ways to Stand Out from the Crowd:<ul><li>
Hands-on experience building or optimizing (advanced) solutions applicable to the Automotive industry (e.g., AI, simulation, real-time processing for Supply Chain, Industrial Engineering, Production)</li><li>
Familiarity with advanced computing, AI, and GPU acceleration platforms, libraries and models (e.g., NeMo, Physics NeMo, Omniverse, Cosmos, CUDA, CUDA-X)</li><li>
Successful history of building and scaling developer communities and delivering impactful technical enablement programs.</li><li>
Successful history of translating between technical and Executive teams in the Automotive &amp; Mobility industry</li></ul>
With competitive salaries and a generous benefits package, we are widely considered to be one of the world&rsquo;s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you.</div>

Senior Developer Relations Manager Automotive

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