6 jobs found

Job Description Job Description Business Technology Integrators (BTI) is a Service-Disabled Veteran-Owned Small Business (SDVOSB) with more than 25 years of experience delivering innovative and reliable IT and engineering solutions to the Federal Government. BTI supports mission-critical programs across defense and civilian agencies, with core expertise in cybersecurity, program management, enterprise IT, and technical oversight services. Position Overview The Senior AV/VTC Specialist will provide expert-level audiovisual, video teleconferencing, multimedia production, and collaboration technology support for the EEOC. This position supports the EEOC's Washington, DC headquarters and its 53 field offices nationwide. The specialist will configure, operate, maintain, troubleshoot, and optimize audiovisual and multimedia systems used for meetings, conferences, presentations, live productions, recorded content, and virtual collaboration. The successful candidate must have extensive experience supporting a large, geographically dispersed organization and possess advanced technical knowledge of AV/VTC platforms, production equipment, digital signal processing, control systems, and multimedia technologies. Key Responsibilities Provide senior-level operational and technical support for AV/VTC systems across the EEOC's headquarters and 53 nationwide field offices. Configure, operate, maintain, test, and troubleshoot audiovisual, video teleconferencing, and multimedia production equipment. Support video teleconferencing and collaboration platforms, including Microsoft Teams, Zoom, Poly RealPresence, and Cisco technologies. Provide technical support for virtual, hybrid, and in-person meetings, conferences, executive briefings, presentations, and special events. Perform pre-event system checks and validate audio, video, network connectivity, displays, cameras, microphones, and conferencing equipment. Monitor live meetings and events, quickly identifying and resolving audio, video, connectivity, or equipment issues. Operate video switching, routing, projection, display, camera, lighting, recording, streaming, and audio systems. Perform professional camera operations, including camera setup, framing, positioning, focusing, and live production support. Provide video editing and post-production services for recorded meetings, training materials, presentations, and other multimedia content. Create and edit graphics, animations, motion graphics, titles, visual effects, and other digital media elements. Configure and operate audio mixing equipment, microphones, speakers, amplifiers, and related sound-reinforcement technologies. Configure, maintain, and troubleshoot digital signal processing systems used for audio and video environments. Support AV control systems used to manage conferencing, lighting, audio, displays, projection, and room automation. Install, configure, operate, and troubleshoot projection systems and LED display technologies. Diagnose complex AV/VTC equipment, software, connectivity, integration, and performance issues. Coordinate technical support with EEOC personnel, field offices, IT teams, vendors, and other stakeholders. Provide remote guidance and troubleshooting assistance to personnel located at EEOC field offices. Maintain accurate equipment configurations, operating procedures, system documentation, troubleshooting guides, and inventory records. Recommend improvements, upgrades, replacements, and technical solutions to improve AV/VTC reliability and performance. Ensure AV/VTC services and multimedia products are delivered professionally and consistently with EEOC standards and requirements. Required Education and Experience Ten (10) years of professional experience providing senior-level AV/VTC and multimedia support in an environment comparable in size and complexity to the EEOC. Demonstrated experience supporting a geographically dispersed organization, including an environment with approximately 53 nationwide field offices. A bachelor's degree in Audiovisual Technology, Information Technology, Communications, Multimedia Production, Broadcast Technology, or a related field is preferred. Relevant specialized training and extensive professional experience may also be considered. Required Skills and Qualifications Expert knowledge of audiovisual and multimedia production equipment. Advanced experience configuring, operating, maintaining, and troubleshooting AV/VTC systems. Strong operational experience with Microsoft Teams, Zoom, Poly RealPresence, and Cisco collaboration or conferencing technologies. Advanced video editing and post-production capabilities. Experience with video switching and live production workflows. Professional camera setup and operation experience. Experience in graphic design, animation, and motion-graphics development. Advanced knowledge of audio mixing and sound-reinforcement systems. Experience configuring and troubleshooting digital signal processing systems. Knowledge of AV control systems, projection systems, LED displays, and related room technologies. Ability to diagnose and resolve complex AV/VTC hardware, software, signal, connectivity, and integration problems. Ability to support multiple events, technical requests, and competing priorities in a fast-paced environment. Strong customer-service, organization, documentation, communication, and problem-solving skills. Ability to communicate technical information clearly to both technical and nontechnical users. Ability to work independently while coordinating effectively with EEOC personnel, field offices, vendors, and IT support teams. Preferred Certifications Relevant industry certifications are preferred but not required, including: AVIXA Certified Technology Specialist (CTS, CTS-I, or CTS-D) Microsoft Teams or Microsoft 365 certification Cisco collaboration certification Zoom platform certification Poly technical certification Dante audio networking certification Manufacturer-specific DSP or AV control-system certifications Powered by JazzHR yb8Lyve5cn

Job Description Job Description Business Technology Integrators (BTI) is a Service-Disabled Veteran-Owned Small Business (SDVOSB) with more than 25 years of experience delivering innovative and reliable IT and engineering solutions to the Federal Government. BTI supports mission-critical programs across defense and civilian agencies, with core expertise in cybersecurity, program management, enterprise IT, and technical oversight services. Position Overview The Intermediate AV/VTC Specialist will provide audiovisual, video teleconferencing, collaboration-platform, and multimedia production support for the Equal Employment Opportunity Commission. This position supports the configuration, operation, maintenance, and troubleshooting of AV/VTC systems within a distributed enterprise environment similar in size and complexity to the EEOC. The ideal candidate will have at least six years of relevant experience supporting audiovisual technologies, video production equipment, conferencing platforms, and integrated multimedia systems. The specialist will support live meetings, virtual conferences, presentations, broadcasts, and other mission-related events while ensuring high-quality audio, video, and collaboration services. Key Responsibilities Configure, operate, maintain, and troubleshoot audiovisual, video teleconferencing, and multimedia production equipment. Provide technical and operational support for Microsoft Teams, Zoom, Poly RealPresence, and Cisco video conferencing systems and endpoints. Set up and support virtual meetings, hybrid meetings, executive conferences, presentations, live events, and video teleconferences. Perform pre-event system checks and confirm that cameras, microphones, displays, speakers, conferencing platforms, and network connections are operating correctly. Monitor live meetings and events, quickly identifying and resolving audio, video, connectivity, or equipment issues. Provide video editing and post-production services for recorded meetings, training materials, presentations, and organizational communications. Operate video switchers, professional cameras, recording equipment, and related production technologies. Support camera placement, framing, lighting, recording, and live video production activities. Develop and edit graphics, animations, motion graphics, presentation materials, and other visual media. Perform audio mixing and configure microphones, speakers, amplifiers, and other sound-reinforcement equipment. Configure and support digital signal processing systems used for audio routing, optimization, and control. Operate and maintain AV control systems, projection systems, video walls, digital displays, and LED display technologies. Diagnose and resolve hardware, software, signal-routing, audio-quality, video-quality, and platform-integration issues. Perform preventive maintenance, firmware updates, equipment testing, and routine system inspections. Coordinate with IT, networking, facilities, communications, and event-support personnel to ensure reliable service delivery. Assist end users, presenters, executives, and meeting organizers with the proper use of AV/VTC systems. Maintain equipment inventories, system configurations, maintenance records, technical documentation, and standard operating procedures. Escalate complex technical issues to senior AV/VTC personnel, vendors, or appropriate support teams. Follow EEOC security, accessibility, operational, and information-technology policies and procedures. Minimum Qualifications A minimum of six years of experience providing AV/VTC support in an enterprise or federal environment similar in size, scope, and complexity to the EEOC. Demonstrated experience configuring, operating, maintaining, and troubleshooting AV and multimedia production equipment. Hands-on experience supporting Microsoft Teams, Zoom, Poly RealPresence, and Cisco video conferencing technologies. Experience with video editing, post-production, video switching, and camera operations. Experience with graphic design, animation, and motion-graphics development. Knowledge of professional audio mixing, microphone systems, signal routing, and sound-reinforcement technologies. Experience with digital signal processing, AV control systems, projection systems, video displays, and LED display technologies. Ability to support live, virtual, and hybrid meetings in a time-sensitive environment. Strong troubleshooting, customer-service, organization, and communication skills. Ability to communicate technical information clearly to both technical and nontechnical users. Ability to work independently and collaboratively with IT teams, government personnel, vendors, and other stakeholders. Ability to lift, move, install, and position AV equipment as required. Preferred Qualifications Associate's or bachelor's degree in Audiovisual Technology, Broadcast Production, Communications, Information Technology, Multimedia Production, or a related discipline. Experience supporting a federal government agency or a geographically distributed organization. Experience with enterprise conference rooms, executive briefing rooms, training rooms, auditoriums, and live-event environments. AVIXA Certified Technology Specialist certification, such as CTS, CTS-I, or CTS-D. Manufacturer certifications involving Poly, Cisco, Crestron, Extron, QSC, Biamp, or similar AV technologies. Familiarity with Section 508 accessibility requirements and federal information-security standards. Core Competencies AV/VTC system operation and troubleshooting Microsoft Teams, Zoom, Poly, and Cisco support Live and hybrid meeting support Video editing and post-production Video switching and camera operation Graphic design and motion graphics Professional audio mixing Digital signal processing AV control and projection systems LED and digital display technologies Preventive maintenance and documentation Customer and executive-level support Choose a Description from the Library LocationCountry - Multiple Countries -AfghanistanAland IslandsAlbaniaAlbertaAlgeriaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish ColumbiaBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos (Keeling) IslandsColombiaComorosCongoCongo, The Democratic Republic of theCook IslandsCosta RicaCôte d' IvoireCroatiaCubaCyprusCzech RepublicDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEthiopiaFalkland Islands (Malvinas)Faroe IslandsFederated States Of MicronesiaFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreat BritainGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea - BissauGuyanaHaitiHeard Island and McDonald IslandsHoly See (Vatican City State)HondurasHong KongHungaryIcelandIndiaIndonesiaIran, Islamic Republic ofIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea, Democratic People's Republic ofKosovoKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMacedonia, Republic ofMadagascarMalawiMalaysiaMaldivesMaliMaltaManitobaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNetherlands AntillesNew BrunswickNew CaledoniaNew ZealandNewfoundland and LabradorNicaraguaNigerNigeriaNiueNorfolk IslandNorthern Mariana IslandsNorthwest TerritoriesNorwayNova ScotiaNunavutOmanOntarioPakistanPalauPalestinian Territory, OccupiedPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPrince Edward IslandPuerto RicoQatarQuebecReunionRomaniaRussian FederationRwandaSaint BarthélemySaint HelenaSaint Kitts and NevisSaint LuciaSaint Martin (French part)Saint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaskatchewanSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth KoreaSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwazilandSwedenSwitzerlandSyrian Arab RepublicTaiwanTajikistanTanzania, United Republic ofThailandTimor- LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkeyTurkmenistanTurks and Caicos IslandsTuvaluUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUnited States Minor Outlying IslandsUruguayUzbekistanVanuatuVenezuelaViet NamVirgin IslandsWallis and FutunaWestern SaharaYemenYukonZambiaZimbabwe Street Address Powered by JazzHR ktfBlmglPp

Job Description Job Description About ATI: Automated Tire (ATI) is a Series-B startup revolutionizing automotive service with innovative robotic and software technology. Founded by experienced entrepreneurs and backed by major players in the automotive and tire sectors, ATI is building the next generation of tools that make tire shops and dealership service lanes faster, safer, and smarter. If you're passionate about building products that ship into real-world environments, ATI is the place for you. Position Overview: BrakeWise is our production brake inspection product: a mobile application paired with a camera probe that technicians use to assess pad and rotor condition during live service work. The machine learning behind it is a multi-stage pipeline of segmentation and classification models that turn raw imagery into a wear assessment a shop can act on and charge for. That pipeline works, and it is an MVP. It runs on Cloud Functions, and it will not carry us to the customer volume we're signing. We're looking for a Staff MLOps Engineer to own it - to take it from a working prototype to a serving architecture that holds up under real throughput, with the latency, cost, and reliability characteristics a paying customer expects. You'll own every aspect of how our models reach production and how they get better: serving infrastructure, deployment and rollback, monitoring and drift detection, the retraining loop, and the evaluation discipline that tells us whether a new model is actually an improvement. Model accuracy here has commercial consequences - a bad wear call is either a missed repair or an unnecessary one, in front of a customer. This is also the senior cloud architecture voice on the team. You'll partner closely with our Staff Full Stack Engineer, who owns the mobile app and customer dashboard, reviewing designs and setting GCP practices across the platform rather than only within the ML stack. Responsibilities: Own the multi-stage inference pipeline (segmentors and classifiers) end to end - serving architecture, latency, throughput, reliability, and cost per inspection Re-architect the pipeline off its current Cloud Functions MVP onto infrastructure that scales: containerized inference, GPU-backed or accelerated serving where it pays for itself, queueing, batching, and autoscaling Own model deployment: versioning, staged rollout, canary and shadow evaluation, and fast rollback when a model regresses Build and own the improvement loop - field data collection, labeling workflows, dataset versioning, evaluation harnesses, and regression suites that catch quality loss before customers do Monitor model quality in production: drift detection, segmented performance analysis, and triage of real-world failures against real inspection imagery Define the metrics that matter commercially - false-positive and false-negative rates on a wear call, technician override rate, unit inference cost - and report against them Improve model performance directly: architecture selection, augmentation, hard-example mining, and quantization or distillation where latency and cost demand it Evaluate on-device versus cloud inference trade-offs for the mobile app, and own whichever path we choose Establish MLOps foundations: reproducible training, experiment tracking, CI/CD for models, and infrastructure as code Serve as the cloud architecture counterpart to the Staff Full Stack Engineer - reviewing designs, setting GCP best practices, and raising the platform's infrastructure bar Work with hardware and field operations on capture quality - lighting, focus, and probe positioning - since upstream image quality sets the ceiling on model performance Own production support for the ML stack, including incident response and on-call participation for inference availability Proactively identify technical risks and architectural trade-offs, and communicate them clearly to leadership Requirements 8+ years of professional engineering experience, including several years owning machine learning systems in production - not solely model development Demonstrated experience taking a computer vision pipeline from prototype to production scale, serving real users at meaningful volume Deep experience deploying and operating segmentation and classification models, including multi-stage pipelines where one model's output feeds the next Strong cloud infrastructure background, preferably GCP - Vertex AI, Cloud Run, GKE, Cloud Functions, Cloud SQL, Pub/Sub, and Docker Production-grade Python, and fluency with PyTorch or TensorFlow Hands-on experience with model serving and optimization - Triton, TorchServe, ONNX, TensorRT, quantization, or equivalent Experience owning deployment and support for a live system, including incident response, rollback, and on-call Experience building data and labeling pipelines with dataset versioning and reproducible evaluation Comfort with infrastructure as code (e.g., Terraform) and CI/CD automation (e.g., GitHub Actions) Sound judgment on the accuracy, latency, and cost trade-offs that determine whether an ML product is viable Excellent problem-solving, debugging, and communication skills, including with non-technical stakeholders Preferred Qualifications: On-device or edge inference experience (Core ML, TensorFlow Lite, ExecuTorch) and integration into mobile applications Active learning or human-in-the-loop labeling systems Computer vision on small, long-tail, or industrial inspection datasets rather than large public benchmarks Experience with camera and sensor integration, or working alongside hardware teams on capture quality Experience with robotics, IoT, or edge computing (ROS or similar platforms) Familiarity with automotive service, dealership operations, or DMS ecosystems Contributions to open-source projects Why Join ATI: Be part of a groundbreaking startup transforming automotive service technology Work with a team of industry veterans and top-tier robotics and software talent Own the ML platform for a product that already has paying customers - your architecture decisions set the scaling ceiling Our customers are our investors, so you'll develop and test in real service lane environments A genuine data advantage: proprietary inspection imagery from real shops that no public dataset can replicate Clear Total Addressable Market with strong pull from B2B partners Competitive salary and comprehensive benefits package Prime location in Woburn, MA with on-site parking Collaborative, low-ego, high-intensity work environment

About Urban Sky Urban Sky is a venture-backed aerospace startup on a mission to pioneer humanity's routine, easy access to the stratosphere and the value locked within it. We design, build, operate, and sell stratospheric balloon systems. The data we collect supports a wide range of applications, from real-time wildfire monitoring to urban mapping. Our technology is also employed by government customers including the Department of War (DoW), NASA, and others. Urban Sky sends flight vehicles to the stratosphere on a weekly basis. Our team consists of engineers, makers, developers, and doers who believe in the power of human potential when passion meets utility within a small, supportive team. At Urban Sky we strive to create a team culture grounded in candor, inclusion, respect and empowerment. We aim to build the next chapter of stratospheric history in Denver and Texas and are seeking self-starting, open-minded, and hard-working team members. Position Overview / Onsite / Full-time / Salaried Urban Sky is seeking a Senior Embedded Imaging Software Engineer to own the firmware, imaging pipeline, and data-movement stack behind our electro-optical (EO) and infrared (IR) payloads - from the sensor at the focal plane to the command-and-control link on the ground. You'll write the firmware that drives our cameras and edge compute, own the CUDA image processing pipeline that turns raw pixels into clean, calibrated, geo-tagged imagery, and architect the high-rate data paths and C2 infrastructure that connect the payload to the customer. Your goal: deliver clean, honest imagery. Much of this work proves out in the field - at events, exercises, and customer engagements. Key Responsibilities: Own embedded firmware for our EO and IR payloads: sensor bring-up, driver development, and edge compute on NVIDIA Jetson platforms Integrate cameras and sensors over PCIe, MIPI/CSI, and USB, and develop board-support packages for custom carrier boards, system-on-modules, and companion microcontrollers Own the L0 image processing pipeline running in CUDA at the edge: debayering, white balance, gamma, and camera/lens correction - applied to raw frames before any codec Own IR-specific processing: non-uniformity correction (NUC), bad-pixel replacement, and radiometric calibration Develop multi-frame super-resolution and related computational imaging capabilities Implement imagery metadata (KLV/MISB) so every frame carries accurate pointing, position, and time Architect high-throughput data paths across the vehicle - PCIe as a first-class specialty - and the routing infrastructure that carries imagery, telemetry, and C2 across satellite, tactical-radio, and IP links Optimize for latency, throughput, and determinism, and balance pipeline compute against onboard ML workloads sharing the same CUDA resources Integrate payload firmware with the gimbal and motion-control stack, consuming pointing and autonomy commands from the broader payload software architecture Develop and maintain optical calibrations for our EO/IR payloads - lens distortion modeling, vignetting/flat-field correction, and MTF/sharpness characterization - so imagery quality is measured and repeatable across cameras and flights Implement motion and temporal compensation (frame-to-frame registration, stabilization, and temporal filtering) to maximize effective image quality from a moving platform Qualifications: Experience building end-to-end camera/imaging systems, from sensor to downstream consumer Working experience with image processing pipelines (debayering, calibration, correction) and CUDA or GPU-accelerated processing Experience with optical calibration and characterization - distortion modeling, vignetting correction, MTF/sharpness measurement - and building the correction steps that apply them in a processing pipeline Familiarity with motion/temporal compensation techniques (registration, stabilization, temporal filtering) for imaging from moving platforms 5+ years developing embedded firmware in C/C++ for embedded Linux and/or bare-metal/RTOS systems Hands-on experience shipping on NVIDIA Jetson or comparable embedded Linux/SoC platforms Deep experience moving high-rate data over PCIe (driver, DMA, endpoint/root-complex level) Solid grounding in networking, data routing, and command-and-control infrastructure Strong hardware debugging skills and comfort working from schematics Nice-to-Haves / Preferred Skills: IR/thermal imaging experience, including NUC and radiometric calibration GStreamer, V4L2, or other imaging/video pipeline frameworks Computational imaging techniques (super-resolution, stacking, HDR) Defense imagery and metadata standards (MISB/KLV, STANAG); defense or mission-critical development experience FPGA workflows or high-speed serial interfaces (SerDes, Aurora, MIPI) Experience with optics and optical hardware Experience with multi-sensor and multispectral fusion - co-registering and combining imagery across sensors and bands into fused data products, in partnership with downstream data teams Requirements: Must be US Citizen or Permanent Resident Must be able to obtain and maintain a US security clearance (an active clearance is a plus) Must be located near Denver, CO or willing to relocate; role is on-site at our Denver headquarters (4800 Race St) Travel expected to support field events, exercises, and customer engagements Benefits: Stock Options Medical, Vision and Dental Flexible PTO Cell Phone Bill Stipend Urban Sky is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. The pay range for this role is: 140,000 - 180,000 USD per year(Denver CO HQ) PI5810b4bf9b36-6921

About Urban Sky Urban Sky is a venture-backed aerospace startup on a mission to pioneer humanity's routine, easy access to the stratosphere and the value locked within it. We design, build, operate, and sell stratospheric balloon systems. The data we collect supports a wide range of applications, from real-time wildfire monitoring to urban mapping. Our technology is also employed by government customers including the Department of War (DoW), NASA, and others. Urban Sky sends flight vehicles to the stratosphere on a weekly basis. Our team consists of engineers, makers, developers, and doers who believe in the power of human potential when passion meets utility within a small, supportive team. At Urban Sky we strive to create a team culture grounded in candor, inclusion, respect and empowerment. We aim to build the next chapter of stratospheric history in Denver and Texas and are seeking self-starting, open-minded, and hard-working team members. Position Overview / Onsite / Full-time / Salaried Urban Sky is seeking a Senior Embedded Imaging Software Engineer to own the firmware, imaging pipeline, and data-movement stack behind our electro-optical (EO) and infrared (IR) payloads - from the sensor at the focal plane to the command-and-control link on the ground. You'll write the firmware that drives our cameras and edge compute, own the CUDA image processing pipeline that turns raw pixels into clean, calibrated, geo-tagged imagery, and architect the high-rate data paths and C2 infrastructure that connect the payload to the customer. Your goal: deliver clean, honest imagery. Much of this work proves out in the field - at events, exercises, and customer engagements. Key Responsibilities: Own embedded firmware for our EO and IR payloads: sensor bring-up, driver development, and edge compute on NVIDIA Jetson platforms Integrate cameras and sensors over PCIe, MIPI/CSI, and USB, and develop board-support packages for custom carrier boards, system-on-modules, and companion microcontrollers Own the L0 image processing pipeline running in CUDA at the edge: debayering, white balance, gamma, and camera/lens correction - applied to raw frames before any codec Own IR-specific processing: non-uniformity correction (NUC), bad-pixel replacement, and radiometric calibration Develop multi-frame super-resolution and related computational imaging capabilities Implement imagery metadata (KLV/MISB) so every frame carries accurate pointing, position, and time Architect high-throughput data paths across the vehicle - PCIe as a first-class specialty - and the routing infrastructure that carries imagery, telemetry, and C2 across satellite, tactical-radio, and IP links Optimize for latency, throughput, and determinism, and balance pipeline compute against onboard ML workloads sharing the same CUDA resources Integrate payload firmware with the gimbal and motion-control stack, consuming pointing and autonomy commands from the broader payload software architecture Develop and maintain optical calibrations for our EO/IR payloads - lens distortion modeling, vignetting/flat-field correction, and MTF/sharpness characterization - so imagery quality is measured and repeatable across cameras and flights Implement motion and temporal compensation (frame-to-frame registration, stabilization, and temporal filtering) to maximize effective image quality from a moving platform Qualifications: Experience building end-to-end camera/imaging systems, from sensor to downstream consumer Working experience with image processing pipelines (debayering, calibration, correction) and CUDA or GPU-accelerated processing Experience with optical calibration and characterization - distortion modeling, vignetting correction, MTF/sharpness measurement - and building the correction steps that apply them in a processing pipeline Familiarity with motion/temporal compensation techniques (registration, stabilization, temporal filtering) for imaging from moving platforms 5+ years developing embedded firmware in C/C++ for embedded Linux and/or bare-metal/RTOS systems Hands-on experience shipping on NVIDIA Jetson or comparable embedded Linux/SoC platforms Deep experience moving high-rate data over PCIe (driver, DMA, endpoint/root-complex level) Solid grounding in networking, data routing, and command-and-control infrastructure Strong hardware debugging skills and comfort working from schematics Nice-to-Haves / Preferred Skills: IR/thermal imaging experience, including NUC and radiometric calibration GStreamer, V4L2, or other imaging/video pipeline frameworks Computational imaging techniques (super-resolution, stacking, HDR) Defense imagery and metadata standards (MISB/KLV, STANAG); defense or mission-critical development experience FPGA workflows or high-speed serial interfaces (SerDes, Aurora, MIPI) Experience with optics and optical hardware Experience with multi-sensor and multispectral fusion - co-registering and combining imagery across sensors and bands into fused data products, in partnership with downstream data teams Requirements: Must be US Citizen or Permanent Resident Must be able to obtain and maintain a US security clearance (an active clearance is a plus) Must be located near Denver, CO or willing to relocate; role is on-site at our Denver headquarters (4800 Race St) Travel expected to support field events, exercises, and customer engagements Benefits: Stock Options Medical, Vision and Dental Flexible PTO Cell Phone Bill Stipend Urban Sky is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. The pay range for this role is: 140,000 - 180,000 USD per year(Denver CO HQ) PI7e7d82f519b2-6921

Senior Back-End Developer (Cloud & IoT) We're looking to connect with experienced Back-End Engineers who enjoy building the cloud platforms behind connected IoT products, smart devices, and real-time video applications. We're looking for engineers with experience in: -Java backend development -AWS cloud services & scalable distributed systems -RESTful APIs powering mobile applications and connected devices -Kubernetes, DynamoDB & Git -Secure, high-performance cloud services -Automated testing and modern software engineering practices Bonus if you've worked with: Smart home or consumer electronics products IoT ecosystems and cloud-connected devices Real-time video streaming or media platforms Device-to-cloud communication and large-scale backend infrastructure This is a product-focused engineering role where you'll build the cloud services powering next-generation connected cameras and IoT experiences used by customers around the world. Interested or know someone who'd be a great fit? Feel free to message me directly! By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. 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Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.