Field Application Engineer - Pegatron Technologies LLC - Career Page
Job Description
Skip To Job Description // Define Google Tag Manager script function runGoogleTagManagerScript() const gtmScript = document.createElement(script); gtmScript.async = true; gtmScript.src = https://www.googletagmanager.com/gtm.jsid=GTM-H9NR; const firstScript = document.getElementsByTagName(script)[0]; firstScript.parentNode.insertBefore(gtmScript,firstScript); // Set tracking consent to denied by default window.dataLayer = window.dataLayer || []; function gtag() dataLayer.push(arguments); gtag(consent, default, ad_user_data: denied, ad_personalization: denied, ad_storage: denied, analytics_storage: denied, wait_for_update: 500, ); dataLayer.push(gtm.start: new Date().getTime(), event: gtm.js); window.googleTagManager = window.dataLayer; // If consent has already been granted, load Google Tag Manager if (localStorage.getItem(trackingConsentGranted) === true) runGoogleTagManagerScript(); function grantConsent() // Store tracking consent preference and push update to Google Tag Manager localStorage.setItem(trackingConsentGranted, true); function gtag() googleTagManager.push(arguments); gtag(consent, update, ad_user_data: granted, ad_personalization: granted, ad_storage: granted, analytics_storage: granted ); // Load Google Tag Manager runGoogleTagManagerScript(); function denyConsent() // Store tracking consent preference and do not load Google Tag Manager localStorage.setItem(trackingConsentGranted, false); $([data-track-share-click]).click(function () googleTagManager.push( event: gaEvent, eventCategory: Share Job, eventAction: Click, eventLabel: $(this).data(track-share-click) + Share ); ); function initializeGainsightPX() // Get current page URL var currentURL = window.location.href; // Check if URL contains /apply/confirm/ if (currentURL.includes(/apply/confirm/)) return; // Exit function, do not proceed with initialization // Check to see if user id exists in sample population loading Gainsight PX var sessionID = 2ded94ddfae13b09818ca93179208216; var visitorType = guest; var samplePercentage = 1; var accountId = customer_20251212171401_DPSWUOPNQR5G0YWQ; var accountName = pegatrontechnologiesllc; // Format signUpDate as YYYY/MM/DD const today = new Date(); const signUpDate = today.getFullYear() + / + String(today.getMonth() + 1).padStart(2, 0) + / + String(today.getDate()).padStart(2, 0); if (visitorType !== guest || __IdSampler.isIdInSamplePopulation(sessionID, samplePercentage)) // Load Gainsight Script (function (n, t, a, e) let i = aptrinsic; n[i] = n[i] || function () (n[i].q = n[i].q || []).push(arguments); ; n[i].p = e; let r = t.createElement(script); r.async = true; r.src = a + a= + e; let c = t.getElementsByTagName(script)[0]; c.parentNode.insertBefore(r, c); )(window, document, https://web-sdk.aptrinsic.com/api/aptrinsic.js, AP-D0FHNVQROUMO-2); // Send custom attributes including Account ID and Account Name aptrinsic(identify, id: sessionID, role: Visitor, signUpDate: signUpDate , id: accountId, name: accountName ); // Initialize Gainsight PX if the URL condition is met initializeGainsightPX(); window.NREUM||(NREUM=);NREUM.info=beacon:bam.nr-data.net,licenseKey:7232591015,applicationID:29127175,transactionName:ZAcBYxEEXxICBkVRDV1NIEIQEV4MTARBSA5KTRNYEAxFCAwL,queueTime:0,applicationTime:32,atts:SEAWFVkeTE1BBBMCGU4f,errorBeacon:bam.nr-data.net,agent:'
Field Application Engineer
Georgetown, TX
Full Time
Entry Level
Position Summary:
This entry-level to mid-level Field Application Engineer role in Austin, TX focuses on deploying GB3600 AI server architecture. It involves bridging customer needs with technical solutions, offering an estimated annual salary range of $95,000 to $140,000 based on your hands-on hardware and software expertise.
We are seeking an eager and highly technical Field Application Engineer (FAE) to drive the integration and validation of our GB3600 AI servers. You will be the primary technical interface for our enterprise and datacenter customers, guiding them through system bring-up, troubleshooting, and performance tuning to ensure seamless AI cluster deployments.
Key Responsibilities
This entry-level to mid-level Field Application Engineer role in Austin, TX focuses on deploying GB3600 AI server architecture. It involves bridging customer needs with technical solutions, offering an estimated annual salary range of $95,000 to $140,000 based on your hands-on hardware and software expertise.
We are seeking an eager and highly technical Field Application Engineer (FAE) to drive the integration and validation of our GB3600 AI servers. You will be the primary technical interface for our enterprise and datacenter customers, guiding them through system bring-up, troubleshooting, and performance tuning to ensure seamless AI cluster deployments.
Key Responsibilities
- Technical Support: Assist customers with GB3600 system bring-up, BIOS/BMC configuration, and hardware validation in datacenter environments.
- Performance Optimization: Analyze server workloads, identify bottlenecks, and optimize hardware/software configurations for maximum AI/ML compute efficiency.
- Customer Enablement: Deliver technical training, documentation, and on-site or remote debug assistance to resolve customer issues.
- Liaison: Act as the voice of the customer, collaborating closely with internal hardware and software engineering teams to drive product improvements.
- Education: B.S. or M.S. in Electrical Engineering, Computer Science, or a related technical discipline.
- Experience: 0-3 years of experience in system design, board bring-up, or technical customer support.
- Knowledge: Familiarity with Linux, Python scripting, and datacenter hardware architectures (specifically GPUs, NVLink, and PCIe scaling).
- Skills: Strong problem-solving abilities and excellent written and verbal communication skills.
- Location: Must be based in or willing to relocate to the Austin, TX area for frequent travel to regional datacenters.
- Base Salary Range: $95,000 - $140,000 annually (dependent on exact experience and skill set).
Apply for this position
Required*
// GTM Values For A/B Testing var EXP1_TWO_STAGE_APPLY_ENABLED = false; var EXP1_TWO_STAGE_APPLY_CHOSEN = false; window.resumeRequired = true; 