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You will report to the project Development Manager or Development Director.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Create character models based on scan data, photo references, or traditional 3D means</li>\n<li>Work with a team to create a cast of characters and character accessories</li>\n<li>Use high-fidelity 3D modeling and sculpting techniques to create detailed models</li>\n<li>Texturize and bake high-poly to low-poly surfaces</li>\n<li>Work with content-driven game engines such as Unreal, Frostbite, or Unity</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>3+ years of industry character creation production experience</li>\n<li>Experience in high-fidelity 3D modeling and sculpting techniques</li>\n<li>Proficiency in Maya, Z-Brush, and Photoshop</li>\n<li>Knowledge of PBR texture and material workflows</li>\n<li>Experience with photo-realistic texture authoring</li>\n<li>Familiarity with game resolution topology and deformation</li>\n</ul>\n<p>Portfolio Requirements:</p>\n<ul>\n<li>Photo-real character modeling and texturing</li>\n<li>Hair, clothing, anatomy, and likeness</li>\n<li>UV layout and all maps</li>\n</ul>\n<p>Pay Transparency - North America:</p>\n<p>The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. 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The Senior Manager Complete Vehicle ensures timely resolution and coordinates all relevant teams for all topics belonging to the field of test processes and infrastructure. The Senior Manager Complete Vehicle is also responsible for building, coordinating and growing the Complete Vehicle development activities in cooperation with other Porsche respectively VW Group entities in the San Francisco Bay Area. The Senior Manager Complete Vehicle is also responsible for Porsche Engineering North America, Inc. as the main contact and person in authority for their respective technical projects which cover all current and upcoming Porsche models within the market. This responsibility necessitates the capability of coordinating multiple teams in different locations (mainly regions of San Jose and Los Angeles) as well as staying abreast of the latest technology in development and validation within Porsche AG. This position collaborates closely with teams within Porsche Engineering, Porsche AG and PCNA, as well as international project teams and involved partners.</p>\n<p><strong>Roles &amp; responsibilities</strong></p>\n<ul>\n<li>Lead the strategic development of Porsche Engineering’s US prototype build up/integration, testing and development activities for Complete Vehicle in alignment with the overall strategic direction of Porsche Engineering</li>\n<li>Build and lead a US-specific Complete Vehicle prototype build up/integration, testing and development team in collaboration with Porsche Engineering Germany</li>\n<li>Lead and coordinate prototype build up/integration, test and development teams in multiple locations (mainly San Jose and Los Angeles)</li>\n<li>Ensure provision of ready-to-use test infrastructure in-time based on Porsche test plans by coordinating teams of test infrastructure engineers and suppliers to ensure set-up, updates, and maintenance of prototypes and test cars in alignment and collaboration with Porsche Engineering headquarter in Germany</li>\n<li>Collaborate closely with Porsche AG and Porsche Engineering development in Germany and third-party customers and partners to ensure all requirements are addressed and all issues are resolved quickly and to full satisfaction</li>\n<li>Coordinate and support commissioning and updating test systems prototypes and test cars based on wiring layout scheme, PIN definition, bus topology, infrastructure design as well as test data configuration on backend systems based on requests from a ticket system</li>\n<li>Prepare, align and implement key performance indicators (KPIs) to measure the performance of test infrastructure and commissioning progress within testing teams and infrastructure for Complete Vehicle</li>\n<li>Actively support new team members and suppliers during onboarding process in terms of strategy, technical know-how, team structure, processes, and tools</li>\n<li>Working closely with international test infrastructure, integration and commissioning team coordinators in other locations as well as Porsche testing teams, function development teams, suppliers, backend development teams to share project information, improve processes and enhance know-how exchange</li>\n<li>Lead and coordinate test drive teams, endurance test teams and quality engineering teams with support for pressing and frequent topics</li>\n<li>Analyze test requirements and technical specifications to continuously improve and adapt test infrastructure und test processes</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<p><strong>Required qualifications</strong></p>\n<ul>\n<li>Bachelor’s degree in Informatics, Mechanical or Electrical Engineering</li>\n<li>10+ years of automotive industry experience in engineering, managing or related role</li>\n<li>10+ years of experience in development and testing of electric and electronic systems for vehicles</li>\n<li>5+ years of experience in building and leading midsize to large teams</li>\n<li>Strong Experience with and knowledge of automotive systems, vehicle architecture and software within a large automotive group</li>\n<li>Experience with ADAS technology, systems and components</li>\n<li>Entrepreneurial thinking and ability to work with a varying level of ambiguity and uncertainty</li>\n<li>Experience in managing multiple teams in different locations</li>\n<li>Previous experience leading cross-functional teams and projects required, preferred with international teams</li>\n<li>Analytical and problem-solving skills</li>\n<li>Proficient working in a multi-cultural environment</li>\n<li>Strong communication skills, ability to present complex subject matter to a wide range of audiences up to board level</li>\n<li>Ability to work well in a team-oriented environment</li>\n<li>Business fluent English/German</li>\n</ul>\n<p><strong>Preferred qualifications</strong></p>\n<ul>\n<li>Advanced degree in Informatics, Mechanical or Electrical Engineering</li>\n<li>Good knowledge of vehicle topology, architecture and bus systems and communication protocols</li>\n<li>Prior experience with both the German and US language and culture considered as a plus</li>\n<li>Ideal candidates are tenacious, persistent, well-organized, flexible adapting to various forms of challenges, process oriented and work well within a group</li>\n<li>Distinct customer orientation, professional presence and assertiveness</li>\n<li>Ability to effectively direct and manage cross-functional teams in different locations</li>\n<li>Ability to understand complex data and narrow it down to essential information</li>\n<li>Detail-oriented with a high degree of accuracy</li>\n<li>Ability to prioritize and work under tight deadlines</li>\n<li>Strong team player with excellent interpersonal skills</li>\n<li>Independent and fast work style, high dedication</li>\n<li>Outstanding analytical, organizational and negotiating skills</li>\n<li>Strong verbal and written communication skills in English and German is a plus</li>\n</ul>\n<p><strong>At a Glance</strong></p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_702fd3e3-586","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Porsche","sameAs":"https://jobs.porsche.com","logo":"https://logos.yubhub.co/jobs.porsche.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=19782","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$150,000 to $190,000 per year","x-skills-required":["Informatics","Mechanical Engineering","Electrical Engineering","Automotive systems","Vehicle architecture","Software","ADAS technology","Systems and components","Entrepreneurial thinking","Analytical and problem-solving skills","Communication skills","Team-oriented environment"],"x-skills-preferred":["Vehicle 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orientation, Professional presence and assertiveness, Cross-functional teams and projects, Complex data analysis, Prioritization and deadline management, Interpersonal skills, Analytical and organizational skills, Negotiation skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":150000,"maxValue":190000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_797f344d-f9f"},"title":"Performance Engineer","description":"<p><strong>About the role:</strong></p>\n<p>Running machine learning (ML) algorithms at our scale often requires solving novel systems problems. As a Performance Engineer, you&#39;ll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems. Strong candidates here will have a track record of solving large-scale systems problems and will be excited to grow to become an expert in ML also.</p>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have significant software engineering or machine learning experience, particularly at supercomputing scale</li>\n<li>Are results-oriented, with a bias towards flexibility and impact</li>\n<li>Pick up slack, even if it goes outside your job description</li>\n<li>Enjoy pair programming (we love to pair!)</li>\n<li>Want to learn more about machine learning research</li>\n<li>Care about the societal impacts of your work</li>\n</ul>\n<p><strong>Strong candidates may also have experience with:</strong></p>\n<ul>\n<li>High performance, large-scale ML systems</li>\n<li>GPU/Accelerator programming</li>\n<li>ML framework internals</li>\n<li>OS internals</li>\n<li>Language modeling with transformers</li>\n</ul>\n<p><strong>Representative projects:</strong></p>\n<ul>\n<li>Implement low-latency high-throughput sampling for large language models</li>\n<li>Implement GPU kernels to adapt our models to low-precision inference</li>\n<li>Write a custom load-balancing algorithm to optimize serving efficiency</li>\n<li>Build quantitative models of system performance</li>\n<li>Design and implement a fault-tolerant distributed system running with a complex network topology</li>\n<li>Debug kernel-level network latency spikes in a containerized environment</li>\n</ul>\n<p><strong>Deadline to apply:</strong></p>\n<p>None. Applications will be reviewed on a rolling basis.</p>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</li>\n<li>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.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;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.</li>\n</ul>\n<p><strong>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&#39;re interested in this work.</strong></p>\n<p><strong>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&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</strong></p>\n<p><strong>How we&#39;re different</strong></p>\n<p>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 — advancing our long-term goals of steerable, trustworthy AI — 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&#39;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.</p>\n<p>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.</p>\n<p><strong>Come work with us!</strong></p>\n<p>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.</p>\n<p><strong>Guidance on Candidates&#39; AI Usage:</strong></p>\n<p>Learn about our policy for using AI in our application process</p>\n<p><strong>Apply for this job</strong></p>\n<ul>\n<li>indicates a required field</li>\n</ul>\n<p>First Name<em> Last Name</em> Email<em> Country</em> Phone* 244 results found No results found</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_797f344d-f9f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4020350008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$280,000 - $850,000USD","x-skills-required":["software engineering","machine learning","GPU/Accelerator programming","ML framework internals","OS internals","language modeling with transformers"],"x-skills-preferred":["high performance, large-scale ML systems","fault-tolerant distributed systems","complex network topology","quantitative models of system performance"],"datePosted":"2026-03-08T13:45:53.165Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, machine learning, GPU/Accelerator programming, ML framework internals, OS internals, language modeling with transformers, high performance, large-scale ML systems, fault-tolerant distributed systems, complex network topology, quantitative models of system performance","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":280000,"maxValue":850000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_adbbd66e-a3f"},"title":"Applications Engineering, Sr Engineer - Topology Optimization","description":"<p>We are seeking a highly skilled Applications Engineer to join our team. As an Applications Engineer, you will be responsible for working with customers to understand their product development requirements and how our software can meet those needs. You will also be responsible for providing product and application training and participating in the delivery of professional services for projects.</p>\n<p><strong>What you&#39;ll do</strong></p>\n<ul>\n<li>Assume and execute tasks assigned to you by your direct manager or senior team members and support requested technical activities throughout the lifecycle of an opportunity, e.g. technical discovery, product presentations, demonstrations, evaluations, and consulting delivery.</li>\n<li>As an application engineer leveraging one or more Ansys products, you will work with customers to better understand their product development requirements and how they work. You will learn general application-specific design and simulation workflows. You will analyze and research how Ansys products and platforms can best meet customer requirements and internalize our value proposition.</li>\n</ul>\n<p><strong>What you need</strong></p>\n<ul>\n<li>MS in Structural Mechanics Engineering, Aerospace Engineering, Manufacturing Methods Engineering or related field, or PhD.</li>\n<li>Minimum years of professional experience in an engineering software environment: MS+0 (Preferred education and years of professional experience in an engineering software environment: MS+3, or PhD+0)</li>\n<li>Demonstrated use of relevant Ansys software or knowledge of other commercial CAE, CAD, EDA, PLM software packages</li>\n<li>Logical problem-solving, strong interpersonal and communication skills, fluent in writing and speaking English</li>\n<li>Strong organizational and time management skills. Possesses a sense of urgency</li>\n<li>Projects a professional image and demonstrates business acumen, driven to succeed</li>\n<li>Ability to travel domestically up to 25% of time</li>\n<li>Demonstrated knowledge and experience in Structural and Topology Optimization</li>\n<li>Demonstrated knowledge and experience in Additive Manufacturing, Casting, and Manufacturing Methods.</li>\n<li>Demonstrated knowledge and experience in material modeling</li>\n<li>Industrial experience is preferred</li>\n<li>Fluency in French is preferred.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_adbbd66e-a3f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synopsys","sameAs":"https://careers.synopsys.com","logo":"https://logos.yubhub.co/careers.synopsys.com.png"},"x-apply-url":"https://careers.synopsys.com/job/villeurbanne/applications-engineering-sr-engineer-topology-optimization-f-m/44408/91405850672","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Ansys software","CAE","CAD","EDA","PLM software packages","Structural and Topology Optimization","Additive Manufacturing","Casting","Manufacturing Methods","Material modeling"],"x-skills-preferred":["French language"],"datePosted":"2026-03-06T07:22:52.029Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"France"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Ansys software, CAE, CAD, EDA, PLM software packages, Structural and Topology Optimization, Additive Manufacturing, Casting, Manufacturing Methods, Material modeling, French language"}]}