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Manager, Solutions Engineering
Interested in working on cutting-edge blockchain technology and creating equitable access to the global financial system? Since 2014, the mission-driven team at the Stellar Development Foundation (SDF) has helped fuel the tremendous growth of the Stellar blockchain network, an open-source platform that operates at high-scale today. Developers and companies around the world build on it, and the SDF team is expanding to support the rapidly growing and changing Stellar ecosystem. In this role, you’ll lead Stellar’s Solutions Engineering function, responsible for enabling transformative enterprise partners to successfully design, build, and operate production-grade integrations on the Stellar network. This role owns Stellar’s Forward-deployed Solutions Engineering function end-to-end. You will be accountable for how SDF supports partners from early technical discovery and solution design through production launch and ongoing support, ensuring integrations are scalable, future-proof, and aligned with the long-term evolution of the Stellar ecosystem. As a member of our team, you’ll operate at the intersection of engineering, architecture, and strategic partner engagement. This is a senior leadership role that combines people management, architectural depth, and program ownership, and plays a critical role in enabling Stellar’s adoption by transformative enterprises. In this role, you will: - Own and continuously refine Stellar’s Solutions Engineering program, including engagement models, partner tiering, and escalation paths. - Build, manage, mentor, and grow a team of Solutions Architects and Solutions Engineers, composed of both in-house team members and certified external collaborators. - Lead end-to-end technical partner engagements, from early discovery and solution design through production launch and ongoing support. - Serve as a senior technical escalation point for high-tiered partners, engaging directly when integrations require deeper architectural guidance or cross-functional coordination. - Provide hands-on architectural leadership, including: - Guiding system and integration design for complex or non-standard use cases. - Reviewing proposed architectures and technical trade-offs. - Helping derisk integrations through design reviews, targeted prototyping, or technical deep dives. - Set and uphold a high technical quality bar for enterprise integrations, ensuring solutions are secure, scalable, maintainable, and future-proof. - Collaborate closely with the Product and Engineering teams to surface recurring partner needs and tooling gaps, and inform roadmap prioritization based on real-world enterprise usage. - Design and scale repeatable engagement models, including partner tiering, SLAs, documentation standards, and feedback loops that allow the program to scale without sacrificing quality. - Oversee hiring, onboarding, training, and certification program for solutions engineers, both internally and across the Stellar partner ecosystem. - Represent SDF in strategic partner conversations, deep technical reviews, and selective onsite engagements with enterprise partners. - Continuously improve the Solutions Engineering program based on learnings from live integrations, postmortems, and evolving partner needs. You have: - Significant experience leading customer-facing engineering or solutions teams, ideally in blockchain, fintech, or financial infrastructure. - A strong technical background that enables you to lead architectural discussions, evaluate system-level trade-offs, and guide complex integrations, even if you are not writing production code on a daily basis. - Experience managing multi-disciplinary teams, such as Solutions Architects, Forward-Deployed Engineers, Partner Engineers, or similar roles. - Comfort operating in ambiguous, fast-evolving environments, where you are expected to help define structure, process, and best practices. - Excellent written and verbal communication skills, with the ability to translate between partner needs, technical constraints, and internal engineering and product priorities. - Experience working directly with enterprise or institutional partners, including senior technical stakeholders. - Willingness to travel occasionally for partner engagements. - A strong sense of ownership and accountability for program outcomes, not just individual engagements. Bonus Points if: - You have experience with blockchain systems, distributed ledgers, or financial market infrastructure. - You have worked in a forward-deployed or embedded engineering model. - You have experience designing or running certification, training, or partner enablement programs. - You have contributed to open-source or ecosystem-driven platforms. We offer competitive pay with a base salary range for this position of $172,000 - $258,000, depending on job-related knowledge, skills, experience, and location. In addition, we offer lumen-denominated grants along with the following perks and benefits: USA Benefits/Perks: - Competitive health, dental & vision coverage with most plans covered at 100% for the employee + any dependents - Flexible time off + 15 company holidays including a company-wide holiday break - Generous paid parental leave for all parents, plus paid pregnancy disability leave for birthing parents. - Gym reimbursement ($80 per month) - Life & ADD (up to $50K) - Short & Long term disability - 401K with 4% match - Health & Dependent Care FSA Accounts - Commuter benefits with $250/month employer contribution - Health Savings Account (HSA) with monthly employer contribution - Family building benefits through Kindbody - Wellbeing benefits (One Medical, Rightway, Headspace) - L&D budget of $1,500/year - Daily lunch and snacks in office - Company retreats About Stellar Stellar is more than a blockchain. Powered by a decentralized, fast, scalable, and uniquely sustainable network made for financial products and services and a thriving and passionate ecosystem that includes a non-profit organization driven by a mission, Stellar is paving the path to unlock the world’s economic potential through blockchain technology. Built with speed and low costs in mind, the Stellar network provides builders and financial institutions worldwide a platform to issue assets, and to send and convert currencies in real time creating real world utility. Founded in 2014, the Stellar Development Foundation (SDF) supports the continued development and growth of the Stellar network and also serves the ecosystem of NGOs, corporations, universities, small businesses, governments, and solo entrepreneurs building on the Stellar network through tooling, funding and strategic collaborations. Together, Stellar is where blockchain meets the real world. About the Stellar Development Foundation The Stellar Development Foundation (SDF) is a non-profit organization focused on working with and supporting change-makers to create equitable access to the global financial system through blockchain technology. SDF provides grants, investments, funding, and other awards to builders and organizations. SDF also develops resources and tooling on the Stellar network to help unlock real world utility. As a nonprofit foundation, SDF puts the health of the Stellar network and the Stellar ecosystem and its mission above all else. We look forward to hearing from you! Privacy Policy By submitting your application, you are agreeing to our use and processing of your data in accordance with our Privacy Policy . Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance , we will consider for employment qualified applicants with arrest and conviction records. SDF is committed to diversity in its workforce and is proud to be an equal opportunity employer. SDF does not make hiring or employment decisions on the basis of race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law.
Manager, Solutions Engineering
Interested in working on cutting-edge blockchain technology and creating equitable access to the global financial system? Since 2014, the mission-driven team at the Stellar Development Foundation (SDF) has helped fuel the tremendous growth of the Stellar blockchain network, an open-source platform that operates at high-scale today. Developers and companies around the world build on it, and the SDF team is expanding to support the rapidly growing and changing Stellar ecosystem. In this role, you’ll lead Stellar’s Solutions Engineering function, responsible for enabling transformative enterprise partners to successfully design, build, and operate production-grade integrations on the Stellar network. This role owns Stellar’s Forward-deployed Solutions Engineering function end-to-end. You will be accountable for how SDF supports partners from early technical discovery and solution design through production launch and ongoing support, ensuring integrations are scalable, future-proof, and aligned with the long-term evolution of the Stellar ecosystem. As a member of our team, you’ll operate at the intersection of engineering, architecture, and strategic partner engagement. This is a senior leadership role that combines people management, architectural depth, and program ownership, and plays a critical role in enabling Stellar’s adoption by transformative enterprises. In this role, you will: - Own and continuously refine Stellar’s Solutions Engineering program, including engagement models, partner tiering, and escalation paths. - Build, manage, mentor, and grow a team of Solutions Architects and Solutions Engineers, composed of both in-house team members and certified external collaborators. - Lead end-to-end technical partner engagements, from early discovery and solution design through production launch and ongoing support. - Serve as a senior technical escalation point for high-tiered partners, engaging directly when integrations require deeper architectural guidance or cross-functional coordination. - Provide hands-on architectural leadership, including: - Guiding system and integration design for complex or non-standard use cases. - Reviewing proposed architectures and technical trade-offs. - Helping derisk integrations through design reviews, targeted prototyping, or technical deep dives. - Set and uphold a high technical quality bar for enterprise integrations, ensuring solutions are secure, scalable, maintainable, and future-proof. - Collaborate closely with the Product and Engineering teams to surface recurring partner needs and tooling gaps, and inform roadmap prioritization based on real-world enterprise usage. - Design and scale repeatable engagement models, including partner tiering, SLAs, documentation standards, and feedback loops that allow the program to scale without sacrificing quality. - Oversee hiring, onboarding, training, and certification program for solutions engineers, both internally and across the Stellar partner ecosystem. - Represent SDF in strategic partner conversations, deep technical reviews, and selective onsite engagements with enterprise partners. - Continuously improve the Solutions Engineering program based on learnings from live integrations, postmortems, and evolving partner needs. You have: - Significant experience leading customer-facing engineering or solutions teams, ideally in blockchain, fintech, or financial infrastructure. - A strong technical background that enables you to lead architectural discussions, evaluate system-level trade-offs, and guide complex integrations, even if you are not writing production code on a daily basis. - Experience managing multi-disciplinary teams, such as Solutions Architects, Forward-Deployed Engineers, Partner Engineers, or similar roles. - Comfort operating in ambiguous, fast-evolving environments, where you are expected to help define structure, process, and best practices. - Excellent written and verbal communication skills, with the ability to translate between partner needs, technical constraints, and internal engineering and product priorities. - Experience working directly with enterprise or institutional partners, including senior technical stakeholders. - Willingness to travel occasionally for partner engagements. - A strong sense of ownership and accountability for program outcomes, not just individual engagements. Bonus Points if: - You have experience with blockchain systems, distributed ledgers, or financial market infrastructure. - You have worked in a forward-deployed or embedded engineering model. - You have experience designing or running certification, training, or partner enablement programs. - You have contributed to open-source or ecosystem-driven platforms. We offer competitive pay with a base salary range for this position of $172,000 - $258,000, depending on job-related knowledge, skills, experience, and location. In addition, we offer lumen-denominated grants along with the following perks and benefits: USA Benefits/Perks: - Competitive health, dental & vision coverage with most plans covered at 100% for the employee + any dependents - Flexible time off + 15 company holidays including a company-wide holiday break - Generous paid parental leave for all parents, plus paid pregnancy disability leave for birthing parents. - Gym reimbursement ($80 per month) - Life & ADD (up to $50K) - Short & Long term disability - 401K with 4% match - Health & Dependent Care FSA Accounts - Commuter benefits with $250/month employer contribution - Health Savings Account (HSA) with monthly employer contribution - Family building benefits through Kindbody - Wellbeing benefits (One Medical, Rightway, Headspace) - L&D budget of $1,500/year - Daily lunch and snacks in office - Company retreats About Stellar Stellar is more than a blockchain. Powered by a decentralized, fast, scalable, and uniquely sustainable network made for financial products and services and a thriving and passionate ecosystem that includes a non-profit organization driven by a mission, Stellar is paving the path to unlock the world’s economic potential through blockchain technology. Built with speed and low costs in mind, the Stellar network provides builders and financial institutions worldwide a platform to issue assets, and to send and convert currencies in real time creating real world utility. Founded in 2014, the Stellar Development Foundation (SDF) supports the continued development and growth of the Stellar network and also serves the ecosystem of NGOs, corporations, universities, small businesses, governments, and solo entrepreneurs building on the Stellar network through tooling, funding and strategic collaborations. Together, Stellar is where blockchain meets the real world. About the Stellar Development Foundation The Stellar Development Foundation (SDF) is a non-profit organization focused on working with and supporting change-makers to create equitable access to the global financial system through blockchain technology. SDF provides grants, investments, funding, and other awards to builders and organizations. SDF also develops resources and tooling on the Stellar network to help unlock real world utility. As a nonprofit foundation, SDF puts the health of the Stellar network and the Stellar ecosystem and its mission above all else. We look forward to hearing from you! Privacy Policy By submitting your application, you are agreeing to our use and processing of your data in accordance with our Privacy Policy . SDF is committed to diversity in its workforce and is proud to be an equal opportunity employer. SDF does not make hiring or employment decisions on the basis of race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law.
Embedded AI Engineer, On-Device Models
COMPANY OVERVIEW Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. COMPANY OPERATING RHYTHM At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. ABOUT THE ROLE Deepgram's speech models are among the fastest and most accurate in the world, and we have deep machinery for running them on NVIDIA GPUs. Our customers need them on everything else: non-NVIDIA accelerators, embedded SoCs, mobile application processors, DSPs and NPUs, and purpose-built devices with tight memory, compute, thermal, and power budgets. When a target platform's standard kernels and runtime can't run a Deepgram model well enough, someone has to go below them. That is this role. As an Embedded AI Engineer on the Partner Platform Engineering team, you work at the lowest layer of our edge stack. You write and optimize custom kernels and operators for specific hardware, collapse models onto device-specific execution units, and do the target-side quantization and assembly-level tuning that standard toolchains can't. You hand what you build up to Applied ML Engineers, who fit Deepgram models to your kernels. Your work is what makes a new hardware platform viable for Deepgram at all. This role is a great fit for a senior embedded engineer who has spent their career close to the metal and wants to point that at speech AI, or a staff-level engineer who wants to define how Deepgram's models get onto new silicon. We'll set the level to your experience. WHAT YOU'LL DO - Write and optimize custom kernels and operators (C, C++, Rust, and platform assembly or intrinsics) for non-NVIDIA accelerators, embedded SoCs, DSPs, and NPUs where the vendor's standard operator set is insufficient for Deepgram models. - Own target-side optimization: collapse models onto device execution units through quantization, operator fusion, memory layout, and architecture-specific compilation to meet latency, memory, power, and thermal budgets. - Integrate with vendor NPU/DSP toolchains and edge inference runtimes, and extend them with custom operators when the graph doesn't map cleanly. - Deliver kernels and runtime components as reusable building blocks that Applied ML Engineers can target when adapting models, with clear interfaces and documented constraints. - Build performance-critical runtime code for embedded environments, including embedded Linux, bare-metal, and RTOS targets. - Establish per-platform benchmarking and validation for latency, accuracy, power, memory footprint, and utilization, and catch regressions before they ship. - Partner with silicon and platform vendors on SDK integration and low-level performance tuning for new chipsets and reference platforms. - Feed hardware constraints back to Applied ML and Research so model designs are easier to land on constrained targets. YOU'LL LOVE THIS ROLE IF YOU - Find deep satisfaction in making a large model run on hardware that was never meant to run it, and still hitting accuracy and latency targets. - Reach for the profiler and the ISA manual before you reach for a bigger chip. - Would rather write the kernel than wait for the vendor to ship it. - Care about the details that don't show up in a cloud benchmark: cold start, power draw, thermals, memory fragmentation, cache behavior. - Prefer hard, constrained, ship-it problems over open-ended research. - Care about the details that don't show up in a cloud benchmark: cold-start time, power draw, thermals, and memory fragmentation. IT'S IMPORTANT TO US THAT YOU HAVE - Experience delivering production systems on resource-constrained hardware — embedded systems, mobile, edge AI, or small low-power devices. - Strong proficiency in C, C++, and/or Rust, with experience writing performance-critical code for constrained environments. - Hands-on experience with model optimization for on-device deployment, including quantization, pruning, knowledge distillation, or architecture-specific compilation. - Familiarity with edge inference runtimes (e.g., ONNX Runtime, TensorRT, TFLite, ExecuTorch) and/or vendor-specific NPU/DSP toolchains. - A strong understanding of hardware-software interaction — CPU/GPU/NPU/DSP architectures, memory hierarchies, fixed-point/integer arithmetic, and power management — and how they affect inference performance. - Experience working close to the metal: bare-metal or RTOS environments (e.g., FreeRTOS, Zephyr), embedded Linux, or microcontroller and edge SoC development. - Strong communication skills and a builder mindset — you can scope an ambiguous optimization problem, drive it to a measurable result, and explain the tradeoffs clearly. IT WOULD BE GREAT IF YOU HAD - Experience with real-time audio processing on embedded platforms — DSP pipelines, audio codec optimization, wake-word or always-on listening, or streaming inference on microcontrollers and edge SoCs. - Depth in ML optimization techniques — custom quantization schemes, mixed-precision inference, or neural architecture search for edge targets. - Background in hardware evaluation and benchmarking — systematically comparing accelerators, SoCs, or GPUs for specific workload profiles. - Experience shipping AI features in consumer products at scale, and the instinct for what "production quality" means on a battery-powered device. - Familiarity with model compilation and optimization toolchains and their tradeoffs across hardware targets. - Experience with secure, robust on-device deployment practices — code signing, encrypted model storage, and safe update mechanisms. Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
ASIC Firmware Engineer, Modeling
About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are looking for an embedded engineer to help build firmware and associated modeling software for OpenAI’s in house AI accelerator. This role involves designing and developing drivers and functional models for a large array of HW components, writing high throughput and low latency firmware code, investigating bring-up and production issues. Responsibilities - Design and implement drivers for hardware peripherals, including those related to AI chips. - Design and implement functional software models to simulate SoC uncore logic and enable FW testing against the model - Design and implement low-latency and high throughput embedded SW to manage HW resources. - Work with adjacent software and hardware teams to implement requirements, debug issues and shape future generations of the hardware. - Collaborate with vendors to integrate their technologies within our systems. - Bring up and debug firmware/driver on new platforms. - Come up with processes and debug issues raised in the field. - Set up monitoring, integration testing and diagnostics tools. Qualifications - 5+ years of experience working in embedded SW space. - Ability to thrive in ambiguity and learn new technologies. - Strong programming skills in C/C++ and/or Rust. - Experience developing high throughput, low latency and multi-threaded code. - Experience working with real time operating systems (RTOS). - Experience developing hardware drivers and working with hardware - Experience with HW/SW co-design - Knowledge of common embedded protocols, e.g. UART, I2C, SPI, etc. - Knowledge of microprocessor and common ARM architectures (e.g. AMBA) is a plus. - Knowledge of PCIe, ethernet and other high BW communication protocols is a plus. - Experience with GPUs or other compute hardware is a plus. - Experience deploying large compute clusters is a plus. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Forward Deployed Engineer
ABOUT RERUN We're building the data stack for Physical AI. The Rerun viewer is loved by the best robotics and spatial-AI teams. Rerun Hub, our data lakehouse, is in private preview and already managing petabytes of data for early customers. This is a hands-on, customer-embedded engineering role, right at the sharp end of physical AI. You'll work side by side with our customers over multi-month engagements, making sure the messy complexity of physical data never slows them down. We want builders. You'll stand up data pipelines and integrations, get customers' data flowing into Rerun, and keep their production systems moving. And by getting deep into their workflows and pain points, you'll help point Rerun's product and engineering teams at the problems that matter most. This is an early, high-ownership role. You'll help shape how deployments work as we grow. WHAT YOU'LL DO - Run technical discovery and scope solutions for customer problems - Solve hard data and infrastructure problems inside customers' production environments - Feed recurring issues, patterns, and product gaps back to Rerun's engineering and product teams - Coordinate work across Rerun and the customer to keep deployments moving BACKGROUNDS WE'RE LOOKING FOR We care about a strong technical foundation and genuine customer curiosity far more than a job title. You likely come from one of these backgrounds: - Data engineering / data platform engineering. You've built pipelines and worked with large-scale data. - Infrastructure / platform engineering. Solid systems background, plus real curiosity about the product and the customer, not just the infrastructure. - Software engineering with substantial data work. You've spent real time close to data, not just application code. WHAT WE'RE LOOKING FOR IN YOU - Strong in Python and hands-on data work - Able to learn fast and work through ambiguity - Comfortable being customer-facing: asking probing questions, surfacing hidden requirements, and coordinating across teams - Genuinely energized by understanding someone else's problem and solving it with them - ~30% travel to spend time with customers during deployments NICE TO HAVE - Robotics, autonomy, perception, or sensor-data experience - Open-source contributions or side projects you're proud of - Customer-facing experience HOW WE WORK AT RERUN - We're a remote company headquartered in Stockholm, Sweden, with a growing hub in San Francisco. - We meet up in person for a week roughly once a quarter. - We're spread across European and US time zones. Rather than one fixed window, each team keeps a few hours of daily overlap that fits where its members are, and every role posting says what that looks like. - We've put together an uncommonly talented tech team, value agency and helpfulness highly, and expect everyone to take broad responsibility for what they build. - We offer competitive cash and equity compensation, six weeks paid vacation, and whatever hardware and software you need to do your job. - Parental leave: 12 weeks full pay for every parent, alongside your local statutory leave entitlements.
Hiring Embedded Engineer - Philadelphia, PA
Job Title: Embedded Engineer Location: Philadelphia, PA Job Description: Embedded/streaming software engineering (AAMP/RDK, C++, GStreamer) Media player debugging - log analysis, pipeline state tracing, DRM/CDN issue investigation Diagnose streaming issues from run logs - network latency, pipeline state failures, buffer underflows, CDN/DRM timeouts Write unit tests using Google Test/Mock; contribute to CI pipelines Tech Stack: C++17, GStreamer, libcurl, libdash/libxml2, Widevine/PlayReady,…
Embedded Engineer/C++/Onsite
This is an opportunity to join a growing engineering team working on embedded software for a next-generation surgical instrument. They're hiring a Firmware Engineer to design, develop, and maintain core embedded features, with a heavy focus on microcontrollers, C/C++, and hands-on work directly with hardware. Python is used for scripting and test automation, and experience with Rust, board bring-up, or low-level driver work is a strong plus. The environment is fast-moving and collaborative,…
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