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About the role: Engineering organization to lead thermal strategy and execution across pre- and post-silicon for next gen CPUs, GPUs, and mobile systems. You ll own thermal requirements, modeling, validation, and cross-functional integration delivering class leading products that delight users in performance, acoustics, and comfort. What you ll do Lead end-to-end thermal program development for client products (pre-silicon through validation and post-silicon). Define silicon- and system-level thermal, power, and cooling requirements; author clear customer-facing documentation. Collaborate with CPU/GPU architecture, performance, BIOS/SMU, packaging, and customer engineering teams to align thermal strategies. Own thermal design, modeling (CFD), test, and debug for mobile & desktop [GR1.1]platforms, drive design decisions and trade-offs. Develop and validate fan policy/curves; optimize thermal controls for APU/CPU, GPU, and hybrid systems. Diagnose thermal interactions (power, performance, controls) at silicon, package, and system levels; rapidly drive alternative solutions. Ensure delivery of best in class designs by influencing IP floorplans, component placement, and system integration for thermals.[DM2.1] Continuously improve processes, methodologies, and automation to accelerate thermal development and validation. Communicate status, risks, and decisions effectively to executives and cross functional stakeholders. What you ll bring (must-haves) Deep expertise in heat transfer and fluid dynamics, with hands-on system level thermal design experience. Advanced proficiency in CFD for electronics cooling (Icepak and/or Flotherm). Strong background in thermal validation and debugging of new silicon and system hardware/software issues. Practical knowledge of thermal components and materials (fans, heatsinks, shields, spreaders, TIMs) and how they impact product performance. Ability to analyze and message package thermal resistance impacts (e.g., silicon performance, gen on gen changes) to internal and external audiences. Proven collaboration across architecture, power/performance, BIOS/firmware, and customer engineering teams. Executive level communication skills able to distill complex technical topics into clear decisions and updates. Extensive lab experience including: o Data acquisition and automation o System teardown/rebuild, instrumentation (thermocouples, IR cameras, power/thermal sensors), and test fixture design. o System impedance and fan (P-Q curve) characterization using an airflow bench. o Test planning, execution, and analysis for thermal performance, acoustics, and skin temperature. Preferred Mechanical CAD experience (Creo or SolidWorks). Experience with Multiphysics modeling and warpage analysis is a bonus. Experience designing and validating fan control policies/curves for client systems. Familiarity with PC architecture and hands-on system setup/testing (VRAM, NVMe, VR, memory, charging circuits). Understanding firmware-managed power/thermal features and controls across APU/CPU, GPU, and combined systems. Experience influencing IP floorplans and component placement for thermal optimization. Why this role matters: Your work directly shapes thermal performance, acoustics, and user comfort in AMD s flagship client products. You ll partner closely with architecture and system teams, see your decisions ship at scale, and set the bar for thermal excellence in the industry. Qualifications Not an entry-level or fresh grad position BS/MS in Mechanical, Aerospace, Electrical Engineering, or related field. BS + 8 years or MS + 6 years or PhD + 3 years of relevant experience in thermal design, analysis, and validation of electronic systems

Duration: 12+ Months About the role: Client Engineering organization to lead thermal strategy and execution across pre- and post-silicon for next‑gen CPUs, GPUs, and mobile systems. You’ll own thermal requirements, modeling, validation, and cross-functional integration—delivering class‑leading products that delight users in performance, acoustics, and comfort. What you’ll doLead end-to-end thermal program development for client products (pre-silicon through validation and post-silicon). Define silicon- and system-level thermal, power, and cooling requirements; author clear customer-facing documentation. Collaborate with CPU/GPU architecture, performance, BIOS/SMU, packaging, and customer engineering teams to align thermal strategies. Own thermal design, modeling (CFD), test, and debug for mobile & desktop [GR1.1]platforms, drive design decisions and trade-offs. Develop and validate fan policy/curves; optimize thermal controls for APU/CPU, GPU, and hybrid systems. Diagnose thermal interactions (power, performance, controls) at silicon, package, and system levels; rapidly drive alternative solutions. Ensure delivery of best‑in‑class designs by influencing IP floorplans, component placement, and system integration for thermals.[DM2.1] Continuously improve processes, methodologies, and automation to accelerate thermal development and validation. Communicate status, risks, and decisions effectively to executives and cross‑functional stakeholders. What you’ll bring (must-haves)Deep expertise in heat transfer and fluid dynamics, with hands-on system‑level thermal design experience. Advanced proficiency in CFD for electronics cooling (Icepak and/or Flotherm). Strong background in thermal validation and debugging of new silicon and system hardware/software issues. Practical knowledge of thermal components and materials (fans, heatsinks, shields, spreaders, TIMs) and how they impact product performance. Ability to analyze and message package thermal resistance impacts (e.g., silicon performance, gen‑on‑gen changes) to internal and external audiences. Proven collaboration across architecture, power/performance, BIOS/firmware, and customer engineering teams. Executive‑level communication skills—able to distill complex technical topics into clear decisions and updates. Extensive lab experience including:Data acquisition and automation System teardown/rebuild, instrumentation (thermocouples, IR cameras, power/thermal sensors), and test fixture design. System impedance and fan (P-Q curve) characterization using an airflow bench. Test planning, execution, and analysis for thermal performance, acoustics, and skin temperature. Preferred Mechanical CAD experience (Creo or SolidWorks). Experience with Multiphysics modeling and warpage analysis is a bonus. Experience designing and validating fan control policies/curves for client systems. Familiarity with PC architecture and hands-on system setup/testing (VRAM, NVMe, VR, memory, charging circuits). Understanding firmware-managed power/thermal features and controls across APU/CPU, GPU, and combined systems. Experience influencing IP floorplans and component placement for thermal optimization. Why this role matters: Your work directly shapes thermal performance, acoustics, and user comfort in flagship client products. You’ll partner closely with architecture and system teams, see your decisions ship at scale, and set the bar for thermal excellence in the industry. Qualifications: Not an entry-level or fresh grad position BS/MS in Mechanical, Aerospace, Electrical Engineering, or related field. BS + 8 years or MS + 6 years or PhD + 3 years of relevant experience in thermal design, analysis, and validation of electronic systems Comments: The Thermal Design Lead will spearhead the thermal strategy and execution across pre- and post-silicon phases. This role involves defining thermal requirements, modeling, validation, and cross-functional integration to ensure the delivery of superior products About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.

Senior Quantitative Power Market Strategist (ERCOT Focus) Job Description We are seeking an accomplished Senior Quantitative Power Market Strategist with deep expertise in U.S. electricity markets—preferably ERCOT—to lead the development of advanced analytical frameworks, market models, and decision-support tools that directly influence trading strategy, asset optimization, and real-time dispatch. In this senior leadership role, you will work at the intersection of quantitative research, market operations, and real-time trading, collaborating with traders, data scientists, engineers, and executive stakeholders. You will architect scalable forecasting engines, design market-behavior models, and provide critical insights into price formation, congestion dynamics, renewable intermittency, ancillary services value, and grid reliability trends. Candidates should bring 10+ years of experience, with a strong preference for those who have: • Direct ERCOT operations experience, ideally at major Texas utilities or generators such as Vistra, Austin Energy, LCRA, CenterPoint, NRG, Oncor, or comparable entities; or, • A PhD from a top-tier U.S. engineering, operations research, or quantitative program combined with substantial power markets research. This role is ideal for a senior quantitative leader who is passionate about designing the next generation of power market intelligence systems and shaping the strategies that maximize portfolio value in a fast-evolving ERCOT landscape. Key Responsibilities • Lead the design, development, and deployment of advanced quantitative models supporting real-time trading, unit dispatch, hedging, and risk mitigation across ERCOT and other U.S. ISOs., • Serve as the subject-matter expert for ERCOT market operations, including SCED, ORDC, congestion, CRR valuation, ancillary services, node/bus-level price formation, and reliability mechanisms., • Drive long-term market research initiatives, including structural modelling, scenario analysis, grid-resource evolution, and policy/regulatory impact assessments., • Architect forecasting systems for LMPs, load, renewables, outages, and congestion using statistical, machine learning, and hybrid methods., • Guide data scientists and analysts in rigorous model development, validation, and documentation., • Influence commercial strategy by translating complex quantitative insights into actionable recommendations for senior traders, asset managers, and executive leadership., • Build scalable analytics pipelines to support high-frequency real-time decision-making., • Act as a key advisor during market stress events, providing tactical guidance during system emergencies or extreme price volatility., • Mentor junior analysts and help shape the analytical culture of the trading organization. Minimum Qualifications • 10+ years of professional experience in U.S. power markets, with at least 5 years directly in ERCOT (market operations, commercial analytics, trading support, or asset optimization)., • OR PhD in Electrical Engineering, Operations Research, Industrial Engineering, Applied Mathematics, Statistics, or Computer Science from a top U.S. university, with research focused on power systems or market modelling., • Expert-level understanding of ERCOT’s:, • SCED and pricing engines, • ORDC and ancillary services markets, • Congestion drivers and transmission constraints, • Outage scheduling and reliability processes, • Proficiency in Python, including numerical and ML libraries (NumPy, pandas, scikit-learn, PyTorch, etc.)., • Strong foundation in time-series modelling, stochastic optimization, and applied statistics., • Experience working with large-scale operational datasets (telemetry, outages, generation, load, constraints)., • Demonstrated ability to independently define modelling problems, structure analyses, and drive results with minimal guidance., • Exceptional communication skills, with the ability to influence traders, engineers, and non-technical leadership. Preferred Qualifications • Prior experience at major Texas market participants., • Expertise in power system optimization, including security-constrained economic dispatch, storage scheduling, and bidding strategies., • Experience implementing ML- and deep-learning–based forecasting systems for prices, load, wind/solar generation, or congestion., • Familiarity with cloud-based architectures (AWS/GCP/Azure) and real-time data pipelines., • Experience building decision-support tools for traders in fast-paced environments., • Strong intuition around market participant behaviour, system reliability risk, and ERCOT regulatory trends. Work Style & Leadership Expectations • Comfortable operating under market time pressures and providing rapid, high-quality insights., • Collaborative and confident engaging with senior traders and executive leadership., • High ownership mentality with accountability for model accuracy and analytical outcomes., • Flexibility to support operations during market events, including early morning, evening, or weekend hours as conditions require., • Commitment to building a rigorous, data-driven culture grounded in transparency, model discipline, and continuous improvement. What We Offer • Highly competitive compensation including performance-based incentives., • Full health benefits, flexible PTO, and opportunities for continuing education., • A leadership role shaping one of the most advanced renewable and real-time trading analytics platforms in the industry., • The opportunity to influence grid-scale renewable strategy and contribute to the future of sustainable energy in the ERCOT market. If the role is of interest please apply via LinkedIn or contact Simon Howard (showard@leap29.com)

Job Title: Thermal Design Lead Duration: 12 Months Location: Austin, TX Work Type: Onsite/Hybrid Job Type: Temporary Assignment Pay Rate: $60.00-$67.00/hr Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. This Client is an American multinational semiconductor company based in Austin, that develops computer processors and related technologies for business and consumer markets. Global company that specializes in manufacturing semiconductor devices used in computer processing. The company also produces flash memories, graphics processors, motherboard chip sets, and a variety of components used in consumer electronics goods. Job Description: About the role: Join client’s Client Engineering organization to lead thermal strategy and execution across pre- and post-silicon for next‑gen CPUs, GPUs, and mobile systems. You’ll own thermal requirements, modeling, validation, and cross-functional integration—delivering class‑leading products that delight users in performance, acoustics, and comfort. What you’ll do • Lead end-to-end thermal program development for client products (pre-silicon through validation and post-silicon)., • Define silicon- and system-level thermal, power, and cooling requirements; author clear customer-facing documentation., • Collaborate with CPU/GPU architecture, performance, BIOS/SMU, packaging, and customer engineering teams to align thermal strategies., • Own thermal design, modeling (CFD), test, and debug for mobile & desktop [GR1.1]platforms, drive design decisions and trade-offs., • Develop and validate fan policy/curves; optimize thermal controls for APU/CPU, GPU, and hybrid systems., • Diagnose thermal interactions (power, performance, controls) at silicon, package, and system levels; rapidly drive alternative solutions., • Ensure delivery of best‑in‑class designs by influencing IP floorplans, component placement, and system integration for thermals.[DM2.1], • Continuously improve processes, methodologies, and automation to accelerate thermal development and validation., • Communicate status, risks, and decisions effectively to executives and cross‑functional stakeholders. What you’ll bring (must-haves) • Deep expertise in heat transfer and fluid dynamics, with hands-on system‑level thermal design experience., • Advanced proficiency in CFD for electronics cooling (Icepak and/or Flotherm)., • Strong background in thermal validation and debugging of new silicon and system hardware/software issues., • Practical knowledge of thermal components and materials (fans, heatsinks, shields, spreaders, TIMs) and how they impact product performance., • Ability to analyze and message package thermal resistance impacts (e.g., silicon performance, gen‑on‑gen changes) to internal and external audiences., • Proven collaboration across architecture, power/performance, BIOS/firmware, and customer engineering teams., • Executive‑level communication skills—able to distill complex technical topics into clear decisions and updates., • Extensive lab experience including:, • Data acquisition and automation, • System teardown/rebuild, instrumentation (thermocouples, IR cameras, power/thermal sensors), and test fixture design., • System impedance and fan (P-Q curve) characterization using an airflow bench., • Test planning, execution, and analysis for thermal performance, acoustics, and skin temperature. Preferred • Mechanical CAD experience (Creo or SolidWorks)., • Experience with Multiphysics modeling and warpage analysis is a bonus., • Experience designing and validating fan control policies/curves for client systems., • Familiarity with PC architecture and hands-on system setup/testing (VRAM, NVMe, VR, memory, charging circuits)., • Understanding firmware-managed power/thermal features and controls across APU/CPU, GPU, and combined systems., • Experience influencing IP floorplans and component placement for thermal optimization., • Why this role matters: Your work directly shapes thermal performance, acoustics, and user comfort in Client’s flagship client products. You’ll partner closely with architecture and system teams, see your decisions ship at scale, and set the bar for thermal excellence in the industry. Qualifications • Not an entry-level or fresh grad position, • BS/MS in Mechanical, Aerospace, Electrical Engineering, or related field., • BS + 8 years or MS + 6 years or PhD + 3 years of relevant experience in thermal design, analysis, and validation of electronic systems TekWissen® Group is an equal opportunity employer supporting workforce diversity.

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview: • Reviewing AI training problems and research environments built for a frontier AI lab, • Assessing whether problems are scientifically realistic, well-designed, and correctly graded — not solving them yourself, • Each task takes 30–90 minutes Requirements: • Master's/PhD OR 4+ years of professional experience in the following fields: Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering, • Ability to start immediately, • Feedback Skills: Ability to provide constructive feedback and detailed annotations., • Communication: Excellent structured communication and collaboration skills in a remote setting., • Independence: Self-motivated and able to work independently in a remote setting., • Technical Setup: Desktop/Laptop set up with a good internet connection. Perks of Freelancing With Turing: • Work in a fully remote environment., • Opportunity to work on cutting-edge AI projects with leading LLM companies., • Potential for contract extension based on performance and project needs. Offer Details: • Engagement type : Contractor assignment/freelancer (no medical/paid leave) Interested? Complete this quick application form to be considered: _

Job Title: Senior Verification Engineer Location: Austin Role Summary: This position is within the MME MCU/MPU Digital IP team. We develop best-in-class digital IPs for NXP’s automotive and advanced microcontroller businesses, delivering sensor and processing technologies that enable secure, connected vehicles today and autonomous vehicles of the future. · Drive a “zero-defect” mindset across the verification team · Provide technical leadership and guidance on complex verification challenges · Mentor and grow a small team of engineers Job Responsibility: · Define and execute verification plans · Develop and implement verification testbenches · Develop testbench components such as drivers, monitors, and scoreboards, and leverage advanced UVM VIPs · Develop directed and constrained-random stimulus · Analyze RTL, functional coverage, and assertion coverage results · Define and develop functional coverage models · Develop and maintain SystemVerilog assertions (SVA) · Apply formal verification methodologies · Demonstrate strong debugging skills, including failure reproduction and root-cause analysis · Exhibit strong analytical and problem-solving skills; familiarity with major simulation and debug tools is a plus Job Qualification: · BSEE with 5+ years of semiconductor industry experience, or · MSEE with 3+ years of experience, or · PhD with 1+ years of experience Technical Skills · Knowledge of protocols such as DDR, PCIe, AMBA (CHI, ACE, AXI) · Strong expertise in Verilog, SystemVerilog (VHDL is a plus) · Experience with OVM/UVM and class-based verification methodologies · Experience with formal verification methodologies · Experience leveraging AI/LLM-based approaches to improve engineering efficiency · Test pattern debugging and validation on simulation and automated test environments · Scripting in Python, Perl, and UNIX/Linux · Familiarity with functional and code coverage methodologies

Apply advanced subject matter knowledge to evaluate and solve complex engineering problems. Advanced degree (Master’s or PhD) in Mechanical Engineering, Chemistry, Physics, or Biology. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engine

We are looking for a Principal Mechanical Design Engineer with a strong background in. BS/MS/PhD Mechanical Engineering or closely related discipline.

$20 - $65/hourpaymicrosoft wordpdf editing toolsdocument formattingtracked changes managementversion controldata extraction (documents)form creation (word/pdf)digital signatures (pdf)secure document handlingcompliance (legal/regulatory)confidentiality managementcross-functional collaborationwritten and verbal communicationattention to detailremote worktraining and stakeholder supportAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Word and PDF Experts Job Type: Contractor (Part-Time or Full- Time) Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Conduct comprehensive document review, editing, and formatting in Word and PDF, ensuring adherence to industry and client-specific standards., • Manage tracked changes, comments, and version control effectively across large and complex files., • Create, edit, and fill dynamic forms and templates tailored to diverse professional needs., • Execute precise data extraction and consolidation from Word and PDF documents., • Collaborate with cross-functional teams to deliver accurate, timely, and confidential document solutions., • Implement and enforce document workflows for legal, regulatory, and compliance-driven projects., • Train and support stakeholders on advanced Word and PDF functionalities and best practices. Required Skills and Qualifications: • Minimum 3+ years’ experience working intensively with Word and PDF tools in professional settings., • Advanced proficiency in document formatting, tracked changes, reviews, and markup., • Exceptional written and verbal communication skills, with acute attention to detail., • Master’s, PhD, or JD degree in a related field (e.g., law, healthcare, academia, public policy, finance)., • Track record of supporting Fortune 500 clients or similarly complex/regulated environments., • Ability to manage confidential information and sensitive materials discreetly., • Self-motivated, adaptable, and effective working independently in a remote, deadline-driven environment. Preferred Qualifications: • Experience working in specialist roles such as legal professionals, healthcare administrators, academic researchers, government consultants, or finance/real estate operations., • Proficiency in advanced PDF features (form fields, digital signatures, secure document handling)., • Portfolio demonstrating high-impact Word and PDF project delivery.

biological data analysisscientific reading comprehensionassessment and question creationwritten and verbal communicationremote team collaborationAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Biology Expert Job Type: Contractor Location: Remote Rate: 20$-50$ per task Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Analyze technical documents and extract key information relevant to your domain expertise, • Generate, review, and refine questions and solutions based on real-world mechanical engineering scenarios, • Collaborate with multidisciplinary teams to ensure accuracy and depth of data and analysis, • Provide detailed written and verbal feedback on document clarity, technical accuracy, and effectiveness, • Apply advanced subject matter knowledge to evaluate and solve complex engineering problems, • Work independently, managing your time to deliver high-quality outputs with minimal supervision, • Contribute to the continuous improvement of data quality and project processes Required Skills and Qualifications: • 2-6 years of professional or academic experience in mechanical engineering or a closely related field (lab, workplace, or academia), • Strong reading comprehension skills, with proven ability to analyze and interpret technical documents, • Exceptional English communication skills, both written and verbal, • Demonstrated experience in creating or evaluating technical content, such as reports, studies, or problem sets, • Ability to work independently and efficiently, with excellent self-management, • High attention to detail and commitment to data accuracy, • Experience interfacing with technical documentation and performing analytical tasks Preferred Qualifications: • Advanced degree (Master’s or PhD) in Mechanical Engineering, Chemistry, Physics, or Biology, • Previous experience contributing to interdisciplinary or research-driven projects, • Familiarity with data-driven analysis or training data preparation Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. Key Responsibilities: • Analyze, review, and interpret complex biological documents, research papers, and data sets to create high-quality assessment content., • Formulate and vet biology-related questions focused on data retrieval, computation, and critical analysis., • Deliver clear explanations and detailed feedback to enhance AI model understanding., • Collaborate with a remote, interdisciplinary team to ensure ongoing content accuracy and quality., • Contribute domain-specific expertise to support the continuous improvement of AI systems., • Work independently to meet deadlines and achieve high productivity with minimal supervision., • Uphold rigorous standards for written and verbal communication in English. Required Skills and Qualifications: • Minimum 2 years of professional experience in biology, either in academia, laboratory settings, or relevant industry roles., • Demonstrated ability to analyze and synthesize complex biological information from diverse sources., • Strong written and verbal English communication, with an emphasis on clarity and detail., • Excellent reading comprehension, particularly in interpreting research and technical documents., • Experience creating or reviewing problem sets, assessments, or scientific analyses., • Ability to work autonomously and efficiently in a remote environment., • High attention to detail and commitment to quality. Preferred Qualifications: • Advanced degree (Master’s or PhD) in Biology or closely related field., • Experience collaborating with multidisciplinary teams or involvement in cross-functional projects., • Familiarity with computational biology or data analysis tools.

chemistry expertisescientific document analysisanalytical reasoningdata interpretationresearch skillsquestion and assessment creationenglish written and verbal communicationcollaborationattention to detailindependent workAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Chemistry Expert Job Type: Contractor Location: Remote Rate: 20$-50$ per task Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Analyze and interpret complex scientific documents, datasets, and research papers related to chemistry., • Develop, review, and refine high-quality questions and answers that challenge and expand AI understanding., • Apply analytical techniques to assess and extract key insights from provided materials., • Collaborate with cross-functional teams to ensure scientific rigor and clarity in content., • Interface with documentation and contribute to continuous process improvement., • Provide feedback and domain expertise on model outputs and system performance., • Ensure the accuracy, relevance, and integrity of all chemistry-related data and input. Required Skills and Qualifications: • Bachelor’s degree or higher in Chemistry or a closely related field., • 2+ years of professional experience in academia, laboratory, or industry settings., • Proven ability to read, comprehend, and analyze technical documents and research studies., • Excellent English proficiency, with strong written and verbal communication skills., • Demonstrated experience in data retrieval, computation, and analytical reasoning., • Ability to work independently with minimal supervision, delivering high-quality results., • Strong attention to detail and scientific accuracy. Preferred Qualifications: • Advanced degree (MS, PhD) in Chemistry or related discipline., • Experience in creating educational or assessment materials., • Familiarity with interdisciplinary collaborations (e.g., physics, biology).

physics research analysisscientific writingcritical thinkingproblem-solvingdata analysisquestion and exam creationremote collaborationtime managementanalytical reasoningtechnical document synthesisai training content developmentinterdisciplinary teamworkattention to detailindependent workdigital content creationAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Physics Expert Job Type: Contractor Location: Remote Rate: 20$-50$ per task Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Thoroughly analyze, interpret, and summarize complex physics documents and research papers., • Create and review high-quality questions and problems related to diverse physics topics for AI model training., • Extract key data, perform detailed computations, and validate analytical solutions in various physics domains., • Deliver clear, concise written explanations and rationales for technical problems and solutions., • Collaborate with a multidisciplinary remote team while maintaining independence in daily work., • Leverage your specialist expertise to ensure accuracy and depth in all content generated or reviewed., • Maintain a high standard of quality and consistency while meeting ongoing deadlines. Required Skills and Qualifications: • 2+ years of professional experience in physics or a closely related field, either in academia or a lab/workplace setting., • Exceptional written and verbal English communication skills, with strong attention to detail., • Proven ability to read, analyze, and synthesize technical documents and research literature., • Demonstrated experience creating, editing, or reviewing scientific questions, exams, or technical exercises., • Ability to work independently and proactively with minimal supervision in a remote setting., • Excellent critical thinking and analytical skills for data evaluation and problem solving., • Strong time management abilities to handle multiple tasks efficiently. Preferred Qualifications: • Advanced degree (MSc, PhD) in Physics or a related discipline., • Experience interfacing with AI, EdTech, or digital content creation projects., • Familiarity with interdisciplinary scientific analysis and collaborative workflows.

$45 - $65/hourpayAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Consultant Expert Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. Key Responsibilities: • Leverage your specialized industry knowledge to provide critical input and feedback for AI system training and evaluation., • Review, edit, and generate written materials in Word and PDF formats, ensuring content aligns with professional standards in your field (legal, government communications, healthcare, etc.)., • Assess the accuracy, clarity, and relevance of technical or domain-specific documents utilized by AI models., • Collaborate with a dynamic remote team to improve model performance and reliability through hands-on assessments., • Communicate findings and recommendations clearly and professionally, both in written reports and verbal discussions., • Stay current with trends and best practices within your domain to ensure AI learning remains relevant and up-to-date. Required Skills and Qualifications: • Exceptional written and verbal communication skills, with a proven ability to articulate complex concepts clearly., • Expertise in a specialized field where professional writing and document review are core components (e.g., legal, government, healthcare)., • Experience working with Word and PDF formats for professional documentation., • Minimum 3 years of relevant industry or domain experience., • Master’s, PhD, or JD from a recognized university, or equivalent practical expertise., • Experience working within Fortune 500 companies or other highly recognizable brands., • Strong attention to detail and analytical abilities. Preferred Qualifications: • Track record of producing or reviewing regulatory, policy, or compliance documents., • Experience with cross-functional or cross-disciplinary project teams in a remote environment., • Published papers, thought leadership, or formal recognition within your area of expertise.

$20 - $60/hourpayacademic researchdocument reviewms word (advanced features: tracked changes, formatting)pdf editing and data extractionwritten communicationverbal communicationattention to detailliterature review and synthesisreport writingpresentation developmentcollaboration with cross-functional teamsremote work proficiencytime managementdeadline managementmultidisciplinary teamworkAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Academic Researcher Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. Key Responsibilities: • Conduct in-depth research and analysis in your area of expertise, delivering high-quality, evidence-based insights., • Prepare, format, and review complex documents in Word and PDF, utilizing advanced features such as tracked changes, form filling, and data extraction., • Collaborate with cross-functional teams, including legal, healthcare, policy, and finance professionals, to support diverse project needs., • Translate complex research findings into clear, concise reports and presentations tailored for Fortune 500 standards., • Evaluate and synthesize academic literature, legal documents, or industry data to inform project outcomes., • Ensure accuracy, consistency, and compliance with designated guidelines in all written deliverables., • Maintain clear and professional written and verbal communication with project stakeholders and team members. Required Skills and Qualifications: • Minimum 3+ years of relevant professional experience in academic research, legal, policy, healthcare, or related sectors., • Master’s degree, PhD, or JD from a recognized institution., • Demonstrated expertise in preparing and reviewing Word and PDF documents (tracked changes, formatting, data extraction, document review)., • Outstanding written and verbal communication skills; meticulous attention to detail., • Ability to manage multiple priorities in a remote, deadline-driven environment., • Experience collaborating with multidisciplinary teams on complex deliverables., • Proven record of producing high-quality, client-ready outputs. Preferred Qualifications: • Experience working with or for Fortune 500 companies., • Prior involvement in legal, healthcare, policy, or financial operations document workflows., • Active publication or presentation record in academic or industry settings.

Qualcomm Technologies, Inc. Engineering Group, Engineering Group > CPU Architecture General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm CPU Architecture Engineer, you will architect and design state-of-the-art CPUs that push the envelope on performance, energy efficiency, and scalability. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of compute products from conceptualization through post-silicon verification. Our CPU Performance Architecture group designs high performance, low power CPUs. As a CPU Performance Modeling Architect , you will contribute ideas for advanced CPU performance features, explore them in detail, model them, and work with the design team in productizing them. We are looking for an experienced engineer for CPU performance modeling and exploration. Roles and Responsibilities Proficiency in one or more areas of CPU architecture: fetch, decode, branch prediction, renaming, execute units, SIMD, load/store, MMU, caches, retire, etc. Knowledge of OS internals and compiler technology a plus Collaborate with CPU Performance Architecture and RTL team members to identify opportunities for product improvement Analyze workloads to identify performance bottlenecks and opportunities Perform self-guided performance simulation studies of design alternatives Write and maintain features and sections of the CPU architectural performance model Work with RTL and design team to assess implementation cost for new features Collaborate with performance team to maintain and improve the simulation environment for increased productivity Preferred qualifications MS degree in Computer Architecture with 2+ years of practical experience Strong CPU architecture knowledge and micro-architecture knowledge Experience working in a performance modeling environment Proficient in C and C++ and scripting languages such as Perl or Python Ability to problem solve and prove your own ideas Knowledge and experience with common performance benchmarks and workloads Qualifications Bachelor's degree in Electrical Engineering, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Electrical Engineering, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Electrical Engineering, Computer Science, or related field and 1+ years of Systems Engineering or related work experience. Preferred Qualifications: • Master's degree in Computer Architecture, Computer Engineering, Electrical Engineering, or related field., • 2+ years of High Performance CPU Architecture or related work experience Minimum Qualifications: • Bachelor's degree in Computer Architecture, Computer Engineering, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Architecture, Computer Engineering, Electrical Engineering, or related field and 3+ years of Software Engineering, Hardware Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR PhD in Computer Architecture, Computer Engineering, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Electrical Engineering, Systems Engineering, or related work experience. • 2+ years of CPU Architecture work experience., • 2+ years of work experience with programming (e.g., C, C++, etc.). Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay range and Other Compensation & Benefits: $148,300.00 - $222,500.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this _. If you would like more information about this role, please contact _.

Qualcomm Technologies, Inc. Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: The Design Implementation Engineer will work in Qualcomm's Adreno GPU team and will be responsible for managing all aspect of frontend implementation design challenges and methodology. The successful applicant will integrate, implement and deliver state of the art GPU cores and will be working closely with the microarchitecture and physical design teams to meet very aggressive Power, Performance, and Area (PPA) targets. The successful candidate will possess in-depth understanding of ASIC design flow and the challenges posed by advanced nanometer technologies. The candidate is expected to be able to demonstrate the following: • Experience with digital design and RTL synthesis, • Experience with EDA tools such as: Design Compiler, Fusion Compiler, Genus, Innovus, Conformal LEC, Formality, and PrimeTime, • Experience with power vector generation and power analysis, • Ability to collaborate with RTL designers to improve power and performance, • Solid scripting skills using Tcl or Python, • Excellent analytical and communication skills, self-motivated Preferred Skills: • Knowledge of UPF, • Knowledge of advanced process nodes, e.g. 3 nm and below, • Understanding of GPU microarchitecture, • Experience with leading a high performance team to push aggressive PPA targets is advantageous Minimum Skills: • Bachelor’s degree in Electrical/Computer Engineering or related field with 7+ years of direct frontend implementation and physical design work experience, • Master’s degree in Electrical/Computer Engineering or related field with 6+ years of direct frontend implementation and physical design work experience, • PhD in Electrical/Computer Engineering or related field with 5+ years of direct frontend implementation and physical design work experience, • Strong background and experience working with industry standard synthesis and place-and-route tools, • Experience with process technology nodes below 10 nm Minimum Qualifications: • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay range and Other Compensation & Benefits: $161,800.00 - $242,600.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this _. If you would like more information about this role, please contact _.

Qualcomm Technologies, Inc. Engineering Group, Engineering Group > CPU Engineering General Summary: As a Senior Data Center Post Silicon Power and Performance Engineer, you will work to characterize, debug, and optimize the performance and power consumption of complex SoCs and systems. You will help set up methodologies, develop validation and benchmarking plans, recommend tuning optimizations, and verify that the newly arrived silicon meets the highest performance and power efficiency. You will also participate in architecture and product definition feedback for the next generation of server CPUs by closing the loop with real silicon analysis. Roles and Responsibilities • Characterize Data Center workloads on system to provide inputs into pre-Si modeling and projection, • Define and execute end-to-end performance and power analysis plans for complex server CPUs and systems, • Debug issues found during pre-silicon, bring-up, validation, and production phases of SOC programs, • Define an optimization strategy that delivers world class CPU workload performance, • Lead collaborative test approach with multiple teams, and tracking test execution to make sure all features are performant and optimized on time, • Work closely with supporting teams in design, architecture, emulation, firmware, design verification and software to ensure readiness for first silicon arrival, evaluation of CPU and system performance upon silicon arrival, and evaluation of critical Data Center workloads, • Develop deep knowledge of CPU architecture, SoC system architecture, system benchmarking techniques, and power reduction and optimization methods, • Drive technical innovation to enhance capabilities in CPU performance, system performance and power validation including tools and script development, technical and procedural methodology enhancement, and various internal and cross-functional technical initiatives Preferred Qualifications • Bachelor or Masters Degree in Computer or Electrical Engineering, • 12 to 20+ years of practical experience in post silicon performance and power analysis of SoCs, • Strong programming/scripting skills (C/C++, Python scripts), • Strong familiarity with Data Center workloads, including CPU, memory, and IO bound workloads, • Strong analytical skills for test plan creation and debug, • Strong communication and collaboration skills, • Must excel in a dynamic team working environment, • Must be a self-starter and be able to independently drive tasks to completion, • Proven understanding of CPU, memory hierarchy, system interconnects., • Knowledge and experience in ARM v8 and v9 specifications, • Solid grasp of ARM SoC concepts and architecture specifications like SMMU, GIC, Coresight-PMU and Timer architectures, • Extensive experience in the following technical areas:, • Proven understanding of critical industry CPU workloads and system interactions and dependencies, • Platform benchmarking and knowledge of performance workloads, • Performance analysis tools and analysis techniques, • Power analysis methods and comprehensive understanding of power consumption, • Power management methodologies and deep understanding of tuning and optimization, • Modern lab equipment, including DAQs, protocol/logic analyzers, oscilloscopes, • Computer hardware and architecture (experience with datacenter servers a plus) Minimum Qualifications: • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 6+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 5+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field and 4+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay range and Other Compensation & Benefits: $179,000.00 - $268,400.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this _. If you would like more information about this role, please contact _.

Qualcomm Technologies, Inc. Engineering Group, Engineering Group > DSP Architecture and Design General Summary: Qualcomm is the world’s largest fabless design company, delivering cutting-edge hardware, software, and services to nearly every mobile device maker and operator in the global wireless ecosystem.At the heart of Qualcomm’s multi-tier mobile SoC, Server, IoT, and Automotive roadmap are our high-performance, multithreaded, low-power Hexagon cores. These cores power a wide range of applications—from AR/XR, audio, and modem to machine learning and automotive. You’ll be working on industry-leading modem and AI cores, driving innovation across instruction sets, RTOS, software architecture, microarchitecture, power, thermal, and di/dt challenges.We’re looking for a motivated and talented engineer to join our team and contribute to the development of high-performance, energy-efficient CPU cores. Ideal candidates will have experience in CPU microarchitecture and RTL design, with knowledge in one or more of the following areas: • Processor pipelines, • Out-of-order execution, • Load/store units, • Caches and cache coherence, • Memory hierarchy, • Multi-processor and multi-threaded systems, • RISC-V architectureYou will own microarchitecture and RTL development, including low-power optimizations, performance exploration, and achieving area and timing goals. Strong communication, collaboration, and teamwork skills are essential.Are you passionate about design and solving complex, challenging problems? Join our Hexagon team—creators of over 20 billion cores—with a proven track record of innovation and flawless execution.Qualifications: • Master’s degree in Computer Science, Electrical Engineering, or a related field, • 1–12 years of experience in CPU architecture and RTL design Minimum Qualifications: • Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 4+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR Master's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 3+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR PhD in Electrical Engineering, Computer Science, Computer Engineering, or related field and 2+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. • 2+ years of experience with high-performance microprocessor design. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay range and Other Compensation & Benefits: $154,000.00 - $231,000.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this _. If you would like more information about this role, please contact _.

Qualcomm Technologies, Inc. Engineering Group, Engineering Group > CPU Engineering General Summary: As a Physical Design Clock Engineer, you will work with microarchitecture, RTL design, CAD, block level and top level physical design teams to create best in class clocking solutions for next generation CPUs. Experience in all aspects of construction and analysis of low skew and low power clock generation and distribution. Experience in clock H-tree, mesh, spines and CTS implementations. Good understanding of device physics, RC delay and electrical aspects. Proficiency in SPICE simulation and analysis for circuit design and verification. MS in Electrical Engineering; 8+ years of practical experience. Skilled in chip physical design, standard cell optimizations, and clock construction. Defined clock methodology across various designs. Preferred experience in deep submicron process technology nodes. Proficient in PLL specifications, clock skew estimation, and jitter measurements. Strong communication skills for team collaboration and issue resolution. Work with design teams to understand, implement and validate CPU clocking. Drive overall clock generation and distribution methodology of CPU. Work with CAD & block level designers to implement the clocking techniques for optimizing skew and power. Perform jitter analysis and measurements and provide feedback to block level and top level physical design engineers on key fixes required. This position is open to both locations Austin and Santa Clara. The compensations will be adjusted based on the location. Minimum Qualifications: • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 4+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 3+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field and 2+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay range and Other Compensation & Benefits: $148,300.00 - $222,500.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this _. If you would like more information about this role, please contact _.

Qualcomm Technologies, Inc. Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: This role involves the physical implementation of industry-leading integrated graphics core designs, from RTL to GDS, focusing on highly complex and high-frequency blocks or top-level designs. As a senior individual contributor, the candidate will utilize his/her proficiency in industry-standard tools and advanced technology nodes to enhance the Power, Performance, and Area (PPA) metrics of our continuously evolving GPUs. The objective is to optimize designs to meet stringent PPA targets. The candidate will work closely with RTL design and architecture teams to drive and devise innovative solutions for design optimization. The candidate will also work closely with multidisciplinary teams and tool vendors to develop and improve automation in design flows and methodologies, enhancing efficiency. This position demands a comprehensive understanding of the trade-offs in Power, Performance, and Area (PPA) to make informed decisions that achieve optimal design solutions. The ideal candidate will have/demonstrate the following: • Experience in Physical design implementation which includes floor-planning, placement, clock implementation, routing for complex, high frequency designs, • Experience with physical synthesis and implementation tools - Synopsys Fusion Compiler, ICC2 and Cadence Genus/Innovus, • Must have good working knowledge of static timing analysis, reliability and power analysis and PDN network, • Strong understanding of CMOS stdcell and memory circuits and design techniques to push Power, Performance and Area of complex designs, • Ability to think outside the box for innovative solutions to improve power and eliminate performance bottlenecks, • Strong understanding of GPU micro-architecture and collaborate with RTL designers to improve bottlenecks for power and performance, • Proven track record of innovation, with the ability to independently tackle and resolve complex technical challenges, • Solid working knowledge of scripting skills including tcl, perl or python, • Excellent communication skills and collaborating in a team environment is a must, • Proven track record of collaborating with diverse teams to drive and resolve complex technical challenges., • Clock, power delivery network design, process technology, prior experience in flow and methodology development, block closure leading to successful tape-outs, • Hands on experience with Synthesis, DFT, Place and Route, Timing and Reliability Signoff, • Hands on experience working with very complex designs that push the envelope of Power, Performance and Area, • Hands on experience working with sub-micron technology process nodes eg. 4nm and below is highly advantageous, • Prior experience in flow and methodology development is an advantage, • Demonstrated history of successful innovation with notable accomplishments, • Proficiency in reading and understanding RTL (Verilog/System Verilog), • Possess excellent debugging and analytical skills, coupled with strong leadership abilities to drive solutions among various teams, • Self-motivated, excellent time management, and strong organizational skills, • Ability to work well in a collaborative environment with multi-disciplined teams Minimum Skills: • Bachelor’s degree in Electrical/Computer Engineering, • 17+ years of direct synthesis and physical design work experience Preferred Skills: • Master’s degree in Electrical/Computer Engineering, • 15+ years of direct synthesis and physical design implementation work experience, • In depth end to end experience from RTL2GDS, taping out at multiple complex designs in deep sub-micron technology nodes Minimum Qualifications: • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 5+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay range and Other Compensation & Benefits: $195,200.00 - $292,800.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this _. If you would like more information about this role, please contact _.

Description The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs - Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services - Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS: Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - Experience developing software code in one or more programming languages (java, python, etc.) - Bachelor's degree in computer science or equivalent - 3+ years of cloud architecture and solution implementation experience - 2+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences) Preferred Qualifications - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 - Experience scripting for automation (e.g., Python, Perl, Ruby) - Knowledge of security and compliance standards including HIPAA and GDPR - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders - Master's degree in computer science, computer engineering, or related field, or PhD - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred - Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Mountain View - 151,000.00 - 204,300.00 USD annually USA, GA, Atlanta - 131,300.00 - 177,600.00 USD annually USA, NJ, Jersey City - 144,500.00 - 195,400.00 USD annually USA, NY, New York - 144,500.00 - 195,400.00 USD annually USA, TX, Austin - 131,300.00 - 177,600.00 USD annually USA, TX, Dallas - 131,300.00 - 177,600.00 USD annually USA, WA, Seattle - 131,300.00 - 177,600.00 USD annually

Description The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs - Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services - Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS: Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneeredcloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companiestrust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 7+ years of external or internal customer facing, complex and large scale project management experience - 5+ years of cloud architecture and solution implementation experience - Bachelor's degree, or 7+ years of professional or military experience - 8+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience - 8+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python) Preferred Qualifications - degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of security and compliance standards including HIPAA and GDPR - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments - PhD or Masters of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience) - Knowledge of AWS platform and tools or equivalent cloud experience. Ideally, the candidate has AWS Experience with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2) - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty) preferred - Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training - Experience with Data Analytics, Data Engineering, Coding, Automation and Scripting (e.g., Terraform, Python) - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Mountain View - 176,600.00 - 239,000.00 USD annually USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually USA, NJ, Jersey City - 169,000.00 - 228,600.00 USD annually USA, NY, New York - 169,000.00 - 228,600.00 USD annually USA, TX, Austin - 153,600.00 - 207,800.00 USD annually USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually USA, VA, Herndon - 153,600.00 - 207,800.00 USD annually

Job Posting Title: Export Control Officer, Office of Research Support and Compliance --- Hiring Department: Office of Research Support and Compliance --- Position Open To: All Applicants --- Weekly Scheduled Hours: 40 --- FLSA Status: Exempt from FLSA --- Earliest Start Date: Immediately --- Position Duration: Expected to Continue --- Location: AUSTIN, TX --- Job Details: General Notes The Office of Research Support and Compliance (ORSC) at The University of Texas at Austin functions to ensure that all research conducted at the University is in compliance with applicable laws, regulations, and University policies. The ORSC educates and supports the University research community with regulatory guidance concerning human subjects research (Institutional Review Board), animal research (Institutional Animal Care and Use Committee), use of biohazardous agents and use of recombinant or synthetic nucleic acids (Institutional Biosafety Committee), financial conflict of interest in research (FCOI), and research integrity education. UT Austin offers a competitive benefits package that includes: 100% employer-paid basic medical coverage Retirement contributions Paid vacation and sick time Paid holidays Eligible for hybrid telework Please visit our Human Resources (HR) website to learn more about the total benefits offered. Purpose The Export Control Officer serves as the Empowered Official and point person for all internal and external inquiries regarding export compliance. The incumbent will manage export staff and provide leadership related to program enhancement, implementation and management/maintenance. The Export Control Officer is expected to advise on regulatory requirements; provide input to faculty and administration for handling complicated export control situations; and lead and coordinate institutional-wide initiatives to understand and apply the federal export control laws and regulations to a wide variety of activities throughout the institution, including research and non-research-related activities that have implications for campus operations. Key initiatives of the Export Control Officer will be to increase awareness, enhance training, and ensure ongoing institutional compliance. This position reports to the Associate Vice President for Research and Director, Office of Research Support and Compliance. Responsibilities Manage Operations of the Export Control Program Serve as a liaison across institutional units and departments to review and assess research and non-research related activities that may have export control implications such as sponsored research agreements, international agreements, material transfer agreements, nondisclosure agreements, purchase orders, fieldwork, international shipping, international travel, and international and visiting scholar appointments. Interface with faculty, staff, and students to ensure compliance with all applicable export controls laws and regulations, embargoes, and sanctions. Perform technology evaluations necessary to make final determinations whether an export license is needed. Develop, review, and approve technology control plans and monitor ongoing compliance. Prepare and file export license applications primarily with the US Department of State, Department of Defense Trade Controls; and US Department of Commerce, Bureau of Industry and Security; and the US Department of Treasury. Submit commodity classification requests, commodity jurisdiction requests, requests for advisory opinions, or public comments to government agencies. Provide Leadership to the Export Compliance Program Establish strategic goals and objectives for the export program. Continually assess and implement program processes and policies for ongoing compliance, efficiency, and optimal community support. Prepare statistical data and reports of mitigated risks, screening results, and other metrics to facilitate program assessment and evaluation. Monitor and interpret new or revised federal regulations related to export controls compliance, establish programmatic goals and objectives to ensure ongoing compliance with export regulations. Serve as a point of contact with federal agencies. Actively participate in professional organizations and groups related to export compliance. Conduct Outreach and Education Implement a compliant and consistent training and education program to ensure stakeholders are well-informed of export compliance obligations. Monitor compliance with educational requirements. Develop and deliver a wide variety of export control educational and training materials, tailored for different audiences across campus, including faculty, staff, and students. Conduct educational and training sessions for various constituencies. Maintain web site focused on export control education and compliance. Contribute content for periodic newsletter updates. Supervise Staff Supervise export control specialist position(s), providing training, guidance, and mentorship. Conduct regular evaluations and provide consistent opportunities for feedback. Manage Export Program Records and Data Management System(s) Maintain accurate and thorough records of export related activities and review to in accordance with state record keeping requirements and to demonstrate compliance. Participate in development and ongoing maintenance of export related record keeping database/management systems. Other related functions as assigned. Required Qualifications Bachelor's degree in a relevant field. 5+ years of export compliance related experience. Strong knowledge of the EAR, OFAC and ITAR, in addition to databases and electronic systems required to implement regulations (e.g., Visual Compliance, DS-4076 CJ Determination Form, SNAP-R, D-Trade). Demonstrated leadership skills and abilities consistent with managing a robust program serving a wide variety of constituents in a diverse organization. High level of initiative with the ability to perform work with limited supervision. Strong project management skills. Excellent presentation skills. Excellent interpersonal, oral and written communication. Relevant education and experience may be substituted as appropriate. Preferred Qualifications Juris Doctor (JD) or an advanced degree (Master's or PhD) in a scientific or engineering field. Export Compliance Professional certification. Experience in a university setting. Salary Range $120,000 + depending on qualifications Working Conditions May work around standard office conditions Repetitive use of a keyboard at a workstation Occasional weekend, overtime and evening work to meet deadlines Occasional interstate, intrastate and international travel Field work as necessary Required Materials Please mark "yes" on the application for required materials. Failure to attach all additional materials listed may affect candidates being considered for the position. Resume/CV 3 work references with their contact information; at least one reference should be from a supervisor. Letter of interest Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. --- Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. --- Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. --- Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. --- Equal Opportunity Employer: The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. --- Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. --- Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. --- E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: E-Verify Poster (English and Spanish) [PDF] Right to Work Poster (English) [PDF] Right to Work Poster (Spanish) [PDF] * --- Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

Description The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs - Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services - Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS: Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneeredcloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companiestrust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 7+ years of external or internal customer facing, complex and large scale project management experience - 5+ years of cloud architecture and solution implementation experience - Bachelor's degree, or 7+ years of professional or military experience - 7+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience - 8+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python) Preferred Qualifications - degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of security and compliance standards including HIPAA and GDPR - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments - PhD or Masters of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience) - Knowledge of AWS platform and tools or equivalent cloud experience. Ideally, the candidate has AWS Experience with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2) - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty) preferred - Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training - Experience with Data Analytics, Data Engineering, Coding, Automation and Scripting (e.g., Terraform, Python) - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Mountain View - 176,600.00 - 239,000.00 USD annually USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually USA, TX, Austin - 153,600.00 - 207,800.00 USD annually USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually USA, VA, Herndon - 153,600.00 - 207,800.00 USD annually USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: We are seeking a highly motivated Visiting Scientist (Postdoctoral Researcher) to join our AI Research (AIR) team for a one-year residency. In this role, you will work directly with Dr. Mirela Tulbure during her sabbatical at Planet to develop our proprietary geospatial foundation models (GFMs). While Planet has historically leveraged external models, we are now focused on building in-house models specifically trained on our unique imagery. As a postdoctoral researcher, you will be the primary technical engine behind creating temporally dense embeddings that capture the dynamic and ephemeral nature of our planet—such as rapid flooding and disaster impacts. You will collaborate with "Planeteers" across data pipelines and analytics to bridge the gap between academic research and operational AI/ML solutions. Impact You’ll Own: • GFM Implementation: Contribute to the design and training of a foundation model specifically optimized for Planet imagery, focusing on the integration of time-series data., • Technical Benchmarking: Execute the systematic evaluation of existing GFM architectures (e.g., TerraMind, Prithvi, Clay) against PlanetScope data to identify performance bottlenecks and transferability., • Prototype Development: Build and test workflows for detecting short-lived events, such as floods and fires, using high-cadence embeddings., • Multi-Sensor Data Fusion: Develop methods to integrate PlanetScope with Sentinel-1 SAR and other commercial datasets to maintain time-series continuity under cloud cover., • Research to Production: Work closely with Planet’s research scientists to transition experimental prototypes into scalable, operational products., • Scholarly Contribution: Co-author findings for publication in top-tier journals and present research at leading conferences like IGARSS or CVPR. What You Bring: • Academic Foundation: A recently completed PhD in Geospatial Analytics, Computer Science, Remote Sensing, or a related field., • Research Track Record: Demonstrated experience in building AI-based models for environmental change or satellite image analysis., • AI/ML Fluency: Hands-on experience with foundation models, contrastive learning, and deep learning frameworks (PyTorch/TensorFlow)., • Advanced Technical Stack: Expert-level Python skills and proficiency with the geospatial scientific stack (e.g., xarray, Dask, Rasterio, GeoPandas)., • Data Engineering Aptitude: Experience building automated pipelines for preprocessing and labeling planetary-scale datasets., • Collaborative Research: Experience working within a research lab environment and a strong desire to apply academic rigor to industry challenges. What Makes You Stand Out: • Specialized Domain Knowledge: Prior research in flood-extent mapping, water dynamics, or disaster response., • GFM Fine-Tuning: Direct experience fine-tuning or modifying specific GFM architectures like TerraMind, Prithvi, or Clay., • Multi-Sensor Expertise: Proven ability to work with a variety of sensors including PlanetScope, Landsat, and Sentinel-1/2. Operational Mindset: A history of developing "human-in-the-loop" workflows or active learning strategies for labeling time-sensitive data. Application Deadline: August 12, 2026 by 11:59p / 23:59 CET (Central European Time) Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office), • Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. San Francisco Salary Range $144,500 - $180,600 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. _ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

As a Staff Backend Software Engineer focused on the Commerce Platform within the Business Platform org, you will play a critical role in building and evolving the systems that power how Dropbox monetizes its products across all sales motions. You will own and influence systems spanning Salesforce CRM, CPQ, Billing, Partner Portal, and their integrations into the broader Commerce ecosystem, driving improvements in platform architecture, system simplification, and data consistency across complex, distributed workflows. You will be responsible for driving technical strategy across a highly customized, revenue-critical platform, including planning and executing modernization efforts, measuring system reliability and data integrity, and evaluating tradeoffs between short-term business needs and long-term platform health. You will operate at the intersection of engineering, Sales, and Finance, with high visibility and ownership over decisions that directly impact revenue, customer experience, and the scalability of Dropbox’s monetization systems. Our Engineering Career Framework is and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more . • Design and evolve scalable backend systems that power Dropbox’s Commerce Platform, including CRM, CPQ, Billing, provisioning, and related data workflows., • Define and drive technical strategy for complex, highly customized systems, balancing short-term delivery with long-term platform scalability and reliability., • Lead efforts to simplify legacy architectures, reduce system fragmentation, and build generalized, product-agnostic solutions., • Own end-to-end reliability of revenue-critical systems, including validation, rollout safety, monitoring, and incident response., • Partner cross-functionally with Engineering, Sales, Finance, and GTM teams to translate business requirements into durable technical solutions., • Identify and execute on opportunities to improve data integrity, system observability, and operational efficiency across the platform., • Take ownership of large, ambiguous problem spaces and drive them from definition through execution, influencing both technical and business stakeholders. Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying. • BS, MS, or PhD in Computer Science or a related technical field involving programming (e.g., Computer Engineering), or equivalent practical experience., • 12+ years of professional software development experience., • Proven expertise in building and maintaining large-scale, distributed backend systems., • Strong system design skills, particularly in complex, stateful, or workflow-driven systems, • Experience building reliable systems with a focus on validation, rollout safety, monitoring, and maintainability, • Experience working on systems in a monetary domain such as ecommerce, subscriptions, billing, payments, or financial systems, • Strong communication and collaboration skills, with experience influencing cross-functional stakeholders, • Experience with CRM, CPQ, Billing, ecommerce, or similar enterprise workflow platforms (e.g., Salesforce), • Track record of simplifying or modernizing legacy systems into scalable, maintainable architectures, • Experience working on revenue-critical or monetization platforms at scale, • Experience improving data consistency and integrity across distributed systems, • Demonstrated ability to influence technical direction across teams without direct authority US Zone 1 This role is not available in Zone 1 US Zone 2 $223,400 - $302,200 USD US Zone 3 $198,600 - $268,600 USD

Natera’s mission is to change the management of disease worldwide by using information gained from a simple blood draw to detect disease earlier and proactively inform treatment. We are seeking an Associate Director, Bioinformatics to lead strategic research and development efforts focused on early cancer detection. This individual will drive the development of novel computational methods and machine learning models, oversee the analysis of large and complex genomic datasets, and partner cross-functionally to guide product development. The ideal candidate will bring deep expertise in bioinformatics, cancer biology, and statistical modeling, and will be capable of leading both scientific and technical contributors. PRIMARY RESPONSIBILITIES Lead the design, development, and validation of novel algorithms and statistical frameworks for early cancer detection from high-throughput sequencing data Serve as the technical and strategic lead for projects, aligning with scientific, product, and engineering stakeholders Translate biological questions into robust analytical frameworks and guide the interpretation of complex genomic datasets Mentor and develop a team of scientists and bioinformaticians Collaborate cross-functionally with R&D, clinical, product, and regulatory teams Present findings internally and at high-impact external conferences and scientific forums Stay current with advances in computational biology, machine learning, and oncology to inform innovation QUALIFICATIONS PhD in Bioinformatics, Computational Biology, Computer Science, Engineering, Statistics, Cancer Biology, or a related discipline Minimum 8 years of experience in bioinformatics, including experience in leadership or project ownership roles Demonstrated experience leading the development of impactful bioinformatics tools or products in oncology or molecular diagnostics Expertise in algorithm development, statistical modeling, and machine learning Deep understanding of cancer biology, genomics, and biomarker discovery Familiarity with public genomic databases (e.g., TCGA, COSMIC, OncoKB) Strong programming skills in Python; experience with R and/or other statistical tools is a plus Proficiency with Linux command-line tools, scripting, and use of cloud or HPC environments Experience working with relational databases and large-scale data management KNOWLEDGE, SKILLS, AND ABILITIES Strong leadership, mentoring, and project management skills Ability to synthesize and communicate complex results to both technical and non-technical audiences Strategic thinker who is self-motivated, detail-oriented, and execution-focused Proven ability to work in a fast-paced, collaborative environment with evolving priorities The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.Remote USA$153,800—$192,300 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit _. Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: _ Please be advised that Natera will reach out to candidates with a @_ email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: • _, • _

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are looking for a principal machine learning engineer to join our core machine learning platform engineering team. In this role, you will partner closely with the AI/MLE leadership team to deliver the vision and technical implementation for the foundational infrastructure leveraged by Xometry’s AI/ML solutions, including the Instant Quoting Engine® and other AI/ML products powering the Xometry marketplace. This will be a high visibility role working hands-on to deliver a core aspect of the Xometry ecosystem. You will be given the opportunity to continually challenge yourself, drive innovation, have ownership of your work, and play a crucial role in the Xometry platform. Responsibilities: • Hands-On Technical Leadership: Adopt a 'lead by example' approach by actively coding and troubleshooting, as well as creating documentation and technical diagrams., • Teaching & Mentorship: You will serve as a mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills., • Code Review: You will do code review and mentor others within the organization regarding best practices in ML Engineering., • Operational Excellence: Guarantee the delivery of superior infrastructure and software that not only meets but exceeds customer expectations, while aligning with the strategic business timelines., • Collaborative Strategy: Forge strong partnerships with product managers, data scientists, and company leadership to promote a culture of open communication and integrated team dynamics., • Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance problem-solving efficiency and effectiveness across the AI/ML organization. Qualifications: • At least 7 years of experience in machine learning engineering, software engineering, data science, or similar technical role., • A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is preferred and may substitute for some years of experience., • Demonstrated experience designing and deploying cloud infrastructure (AWS preferred) to support machine learning, and machine learning models, with considerations for scale, reliability and security., • Deep understanding of the machine learning lifecycle and related infrastructure needs - feature stores, a/b testing, model registration, drift detection, automated retraining, etc., • Strong technical expertise. You will need to either have or demonstrate the ability ability to quickly build technical expertise in the following:, • Software engineering principles, including parallel and distributed computing, version control, reproducibility, and continuous integration., • Machine learning techniques and algorithms, with emphasis on their impact to infrastructure implementation, • Including large-scale language and vision models (Transformers, GPT, VLMs, LLMs), deep learning (PyTorch, Tensorflow), • Infrastructure as Code (IaC), especially Terraform, • REST API design and implementation, • Object oriented and functional programming in Python, • Multimodal data processing (e.g., combining text, image, and 3D data)., • Experience with AWS microservices including SageMaker, Service Catalog, IAM, Lambda, Cloudwatch, ECR, EKS, and Kinesis, • Containerization technologies (Docker and Kubernetes), • Demonstrated ability to interact and communicate effectively at all levels of the organization, from executives to product managers and a wide variety of stakeholders and contributors, • Experience in the manufacturing, supply chain, or similar industries is a plus., • Must be a US Citizen or Green Card holder (ITAR) #LI-Remote Here at Xometry we believe in diversity, equity, inclusion and belonging. We are committed to welcoming, respecting, and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. _ Instacart powers millions of shopping journeys every day across one of the largest online grocery catalogs in the world. Machine learning sits at the center of that experience, shaping how customers search, discover, and decide what to buy. Advances in generative AI create a rare opportunity to rethink how commerce works. Instead of traditional ranking pipelines alone, the next generation of shopping experiences will be powered by intelligent systems that help customers explore products, plan purchases, and discover what they need more naturally. We are looking for a Senior Staff Machine Learning Engineer to help lead this transformation. In this role, you will define the technical vision for how machine learning powers the Instacart shopping journey and build systems that move beyond traditional search and recommendation approaches. You will help develop next generation shopping experiences using large language models, agentic AI systems, and large scale personalization. This is a hands-on IC and technical leadership role at the Director level with no people management responsibilities. You will shape long term technical direction while building production systems that serve millions of customers in real time. • Define and drive the long term technical vision for Shopping ML across search, discovery, recommendations, and personalization., • Lead development of AI systems that fundamentally improve how customers discover products and shop on Instacart., • Architect large scale ML systems combining LLM reasoning, retrieval, ranking, recommendation models, and personalization., • Build and operate production ML systems powering real time shopping experiences across millions of users and products., • Identify foundational ML capabilities that unlock new customer experiences and accelerate experimentation across the organization., • Partner with senior leaders across product, engineering, and data science to shape technical strategy and roadmap., • Influence company wide ML architecture and contribute to major technical initiatives across Instacart., • Mentor senior/staff engineers through design reviews, architecture guidance, and hands-on collaboration., • Master’s or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field, or equivalent industry experience., • 10+ years building and operating large scale machine learning systems in production., • Proven track record architecting ML systems that power core product experiences at global scale., • Deep expertise in areas such as recommendation systems, ranking models, embeddings, representation learning, or search systems., • Experience combining generative AI with traditional ML systems such as retrieval, ranking, and personalization., • Experience designing ML platforms that support large scale experimentation, training, and deployment., • Ability to influence senior engineering and product leaders and drive technical strategy., • Experience mentoring engineers and raising the technical bar across teams., • Experience building search, discovery, or recommendation systems for large consumer platforms., • Expertise in large language models, agentic AI systems, or tool using AI architectures., • Experience fine tuning and distilling LLMs for low latency production systems, balancing model quality, latency, and cost., • Experience building ML infrastructure supporting large scale experimentation and model deployment., • Background working on e-commerce, marketplaces, or large consumer platforms., • Recognized technical leadership through publications, patents, conference talks, or open source contributions. Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy _. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings _. For US based candidates, the base pay ranges for a successful candidate are listed below. CA, NY, CT, NJ $313,000 - $330,500 USD WA $301,000 - $317,500 USD OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI $287,000 - $303,000 USD All other states $261,000 - $275,500 USD

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for Inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You’ll Do • Opportunity to lead key engineering and product decisions, • Actively shipping production code for the Speechify iOS app, • Work within a dedicated product team, • Participate in product discussions to shape the product roadmap, • Maintain and enhance the existing complex app architecture An Ideal Candidate Should Have • Experience. You've worked on products that scaled to a large user base, • Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product, • Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience, • Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction, • Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time, • Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Technical skills. Swift, SwiftUI Technical Requirements: • Swift Programming Language, • SwiftUI experience, • Experience in Multithreading Programming, • Working with CI/CD infrastructure, • Experience with Fastlane, • SOLID principles, the ability to write every single class according to SOLID, • Experience with Git and understanding of different Git strategies What We offer: • A fast-growing environment where you can help shape the company and product, • An entrepreneurial crew that supports risk, intuition, and hustle, • The opportunity to make a big impact in a transformative industry, • A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture, • Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives, • Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world, • Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About Wing: Wing offers drone delivery as a safe, fast, and sustainable solution for last mile logistics. Consumer appetites for on-demand services are increasing, but current delivery methods are inefficient, costly, and contribute to road accidents and air pollution. Wing’s fleet of highly automated delivery drones can transport small packages directly from businesses to homes on-demand, in minutes. We design, build, and operate our aircraft, and offer drone delivery services on two continents. Our technology is designed to be easy to integrate into existing delivery and logistics networks, offering a scalable drone delivery solution for a broad range of businesses. Wing is a part of Google's parent company, Alphabet, and our mission is to create the preferred means of delivery for the planet. If you're ready to do the greatest work of your life, come join us. About the Role: Wing is looking for a Head of Global Policy to join our Government & Aviation Affairs team. This role is based Remotely in the US or Hybrid in Washington, D.C. or Arlington, VA. This executive-level position will lead Wing’s global policy development and thought leadership, reporting to the Director of Global Policy, Government & Community Affairs. This leader is responsible for creating the foundational policy frameworks that will enable scalable, autonomous, and safe drone delivery around the world. This role will develop and execute a comprehensive global policy strategy, engaging with international standards bodies and national regulators to shape the rules for this new era of aviation. The successful candidate is a proven policy strategist with deep intellectual curiosity who thrives in a dynamic, fast-paced environment. We are looking for an intrinsically driven leader who can manage a global team of experts, navigate complex, first-principles policy debates (e.g., UTM, privacy, safety cases), and work cross-functionally to align Wing’s technical roadmap with its global public policy goals. What You’ll Do: • Develop and execute Wing’s comprehensive global policy strategy, creating scalable, principles-based frameworks for new and existing markets, • Lead and mentor a global team of policy professionals, fostering a culture of intellectual rigor, collaboration, and strategic impact, • Serve as Wing’s primary policy representative and thought leader in global forums (e.g., ICAO, JARUS) and with national aviation authorities (e.g., EASA, CASA, FAA), • Author and oversee the development of authoritative white papers, public comments, and presentations on complex policy issues, including Uncrewed Traffic Management (UTM), Detect and Avoid (DAA), safety case methodologies (e.g., SORA), privacy, and sustainability, • Collaborate closely with internal partners, including U.S. Federal & State Affairs, regional Government Affairs leads, Regulatory, Legal, Product, and Engineering, to ensure a unified and consistent global policy position, • Translate complex technical concepts and safety architectures into clear, compelling, and accessible policy language for regulators and public audiences, • Advise Wing’s senior leadership on international policy developments, long-term regulatory trends, and strategic opportunities to shape the global operating environment, • Manage relationships with academic, think tank, and industry partners to build coalitions and amplify Wing's policy priorities What You’ll Need: • 15+ years of relevant experience in global public policy, with a focus on aviation, transportation, or emerging technology, • 7+ years of experience managing high-performing, globally-distributed policy teams, • Bachelor's degree or equivalent practical experience; an advanced degree (e.g., JD, MPP, MPA, PhD) is strongly preferred, • Proven experience developing and executing multi-country policy strategies and successfully shaping novel regulatory frameworks for a new industry, • Deep, substantive expertise in global aviation policy, including familiarity with international standards bodies (ICAO, JARUS) and key national regulators (EASA, FAA, etc.), • A demonstrable network of relationships with international regulators, industry-shaping academics, and technology policy organizations, • Exceptional analytical, writing, and verbal communication skills, with a public record of authoring influential policy documents or analysis, • Ability and willingness to travel, including internationally, as needed to perform job duties The US base salary range for this full-time position is the salary range below + bonus + equity + benefits. Wing’s salary ranges are determined by role, level, and location. Your recruiter can share more about the specific salary range for your location during the hiring process. Salary Range$176,000—$293,000 USD Wing is an equal opportunity employer and it is Wing's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Employment at Wing is based solely on a person's merit and qualifications directly related to professional competence. Wing does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. If you have a need that requires accommodation during the interview process due to a disability or special need, please let us know by completing our _.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: _ The Mapping team at Waabi develops the foundational spatial intelligence of our autonomous fleet. As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven mapping infrastructure. We are looking for a strong software generalist who thrives on variety, can easily pivot across different projects, and tackles complex distributed systems problems from data ingestion to real-time serving. You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We value original, high-impact ideas and rigorous experimental validation. You will... • Act as a versatile engineering powerhouse, quickly ramping up on new domains and fluidly transitioning between backend pipelines, API design, and vehicle-side serving., • Be part of a multidisciplinary team of Engineers and Research Scientists using AI-first approach to create high-definition (HD) maps at scale., • Architect and build the engineering foundations of our long-term mapping infrastructure., • Build robust, scalable pipelines to automatically create, validate, maintain, and visualize massive amounts of data., • Design and develop comprehensive metrics, observability, and anomaly detection across various systems., • Partner directly with downstream customers (e.g. Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive APIs., • Engineer real-time, high-availability, and low-latency systems for fleet of self-driving vehicles. Qualifications: • BS, MS, or PhD in Computer Scientist, Electrical Engineering, or related field, with a minimum for 5 years of industry experience., • Strong computer science fundamentals with an aptitude and willingness to quickly learn domain-specific concepts like 3D geometry and spatial data structures., • Prove ability to work across various programming languages, seamlessly bridging high-level Python development with robust systems-level engineering in C++ or Rust., • Solid experience in designing, developing, and deploying production-quality, fault-tolerant software at scale (moving well beyond prototypes/proofs of concept)., • Hands-on experience building distributed systems on modern cloud platforms. Bonus/nice to have: • A true generalist mindset: you enjoy wearing multiple hats, diving into unfamiliar codebases, and picking up new technologies as the mission dictates., • Prior experience with autonomous vehicles, HD mapping, or robotics., • Familiarity with 3D geometry, geospatial systems, spatial databases, and tooling such as QGIS, GDAL, or PostGIS., • Familiarity with Machine Learning pipelines or integrating AI models into production engineering systems., • Experience with large-scale data processing systems and orchestration framework (e.g., Apache Spark, Airflow, Ray, Kafka)., • Open-minded and collaborative team player with strong willingness to help others. The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment. IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments. Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology. This is a hybrid role (3 days in office / 2 days remote). About Your Team: Shape the Future of Market Integrity at Interactive Brokers. Interactive Brokers (IBKR) seeks a Quantitative Software Engineer to join our elite transaction surveillance team. You will leverage your quantitative skills and experience in financial markets to develop sophisticated detection systems that identify market manipulation, fraud, and money laundering attempts before they impact market integrity. Your work will directly influence how one of the world's largest electronic brokers protects the financial ecosystem. What will be your responsibilities within IBKR: • Architect next-generation surveillance models to detect emerging manipulation patterns across global markets, • Partner with compliance leadership to ensure surveillance systems meet and exceed regulatory expectations, • Translate your experience into algorithms that identify suspicious trading and cashiering activity with high accuracy, • Conduct sophisticated data analysis on massive financial datasets (hundreds of millions of daily orders, millions of daily trades), • Evaluate model performance to optimize detection accuracy while minimizing false positives, • Document methodologies to withstand regulatory scrutiny and examination. Which skills are required: Attention Candidates: If your experience is exclusively in bank risk departments building, VAR models or similar frameworks, please note this role involves fundamentally different expertise in surveillance technology and compliance systems. • Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or related quantitative field, • Strong programming proficiency in Python, • Professional experience: 5+ years (3+ for Master's, 1+ for PhD) hands-on experience in market surveillance, • Domain expertise in at least one of:, • Large-scale financial data analysis (orders, trades, market data), • Market manipulation detection methodologies (spoofing/layering, insider trading, money laundering, fraud, etc.), • Regulatory-driven feature engineering, • Communication excellence in explaining complex surveillance concepts to diverse stakeholders. Good to haves: • Regulatory background at the SEC, FINRA, or major securities exchanges, • Advanced degree in a quantitative discipline, • Mastery of Python data science tools (pandas, scikit-learn, xgboost, catboost), • Deep understanding of market microstructure and trading strategies, • Specialized knowledge in AML and market manipulation typologies To be successful in this position, you will have the following: • Self-motivated and able to handle tasks with minimal supervision., • Superb analytical and problem-solving skills., • Excellent collaboration and communication (Verbal and written) skills., • Outstanding organizational and time management skills., • Competitive salary, annual performance-based bonus and stock grant, • Retirement plan 401(k) with competitive company match, • Excellent health and wellness benefits, including medical, dental, and vision benefits, and a company-paid medical healthcare premium., • Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP), • Paid time off and a generous parental leave policy, • Daily company lunch allowance is provided, and a fully stocked kitchen with healthy options for breakfast and snack, • Corporate events, including team outings, dinners, volunteer activities and company sports teams, • Education reimbursement and learning opportunities, • Modern offices with multi-monitor setups

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Marketplaces Data and AI is Airbnb's data and AI execution org, responsible for the machine learning, data engineering, and analytics systems that power how guests find the right place to stay and how hosts succeed on the platform. We build foundational data products used across Airbnb — by Trust, Customer Support, Search, and every team that needs a reliable, structured view of what is happening on our platform. The Core Entities program is the cornerstone of that foundation. It is the company's canonical semantic model for the objects that matter most to Airbnb — hosts, listings, users, and trips — and the events that happen across their lifecycles. This work feeds the intelligence layer that Airbnb's next generation of AI products depends on, and it is one of the top priorities for the company's engineering leadership. The Difference You Will Make: You will own two closely connected areas: • Entity Data Foundation — The value of a shared entity platform depends entirely on producers shipping high-quality, well-modeled data that downstream teams can actually rely on. You will lead the engineering execution that makes this real: partnering with data-producing teams across the company to onboard their entities to the shared semantic model, driving the attribute serving platform that delivers over 1,700 quality and behavioral signals at production scale, and maintaining the health and governance contracts that give consumers confidence in the data they build on. This is platform work with direct product stakes — the teams consuming this data are building Airbnb's next generation of AI products, and what you ship is the foundation they stand on., • Trip Intelligence — As Airbnb continues to expand beyond Stays, we have an opportunity to more proactively serve our guests and hosts. We are building a holistic, realtime data product (the Trip) to serve as a shared data product not just for analytics, but also to make trips better as they are happening. Trip Intelligence is one of the highest-priority open problems on the roadmap. You will define and build it: own the trip entity schema from first principles, surface and resolve the competing representations currently scattered across reservations, messaging, customer support, and trust systems, and drive the real-time trip intelligence layer that aggregates signals across the trip lifecycle into a structured, queryable, near-real-time view. This signal layer is a direct dependency for proactive trip support, customer support triage, and host-facing AI products. The combination is intentional. You are building foundational infrastructure that matters at company scale — and you have a concrete, high-visibility greenfield delivery to anchor your first year. A Typical Day: • Drive entity onboarding with producer teams across the company — unblock teams stuck on data quality issues, resolve schema ambiguity, and close the gap between what the platform promises and what data owners actually experience., • Lead technical design on the trip entity — data model, lifecycle event taxonomy, real-time streaming architecture, and privacy-safe handling of message and conversation data., • Closely partner with compute and data infrastructure teams to drive the state-of-the-art for realtime data processing at Airbnb., • Partner with proactive trip support, customer support triage, and host AI product teams to validate that the signal layer meets their actual use cases, not a spec written in isolation., • Review designs spanning attribute serving, real-time event pipelines, and cross-system entity mapping., • Work closely with the principal engineer and program manager on roadmap sequencing and escalation of infrastructure dependencies., • Manage and develop a team of ~7 engineers — own their careers, not just their sprint output., • Represent entity platform work in executive-level program reviews; this program is a direct priority for Airbnb's engineering leadership. Your Expertise: • 9+ years of industry experience, including 3-5+ years in engineering management, • Bachelor's, Master's, or PhD in Computer Science, Data Engineering, or a related field, • Background in data engineering, platform engineering, or data infrastructure — you understand entity modeling, schema evolution, data contracts, and what it takes to build systems that downstream teams can rely on., • Hands-on fluency with distributed data systems: batch and streaming pipelines, online and offline serving, or event-driven architectures — sufficient to drive design reviews and challenge engineers on tradeoffs., • Experience building in a cross-functional platform role — you have navigated the tension between what producers can deliver and what consumers need, and you know how to make progress without direct authority over every team in the chain., • Comfort with greenfield work: you have built something from a blank schema or an early-stage spec, not just inherited a running system., • Strong instinct for what belongs in shared infrastructure versus what stays in a product team., • Clear communicator: able to represent technical decisions to senior leadership and keep producers and consumers aligned across a program with many moving parts., • Commitment to engineering excellence, diversity, and belonging. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. _. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: _. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

Research Scientist / Machine Learning Scientist Location: SF Bay Area/Hybrid / Remote Type: Full-Time About the Role: The Client is seeking a variety of Machine Learning Scientist to help advance how we evaluate and understand AI models. You’ll help design and analyze experiments that uncover what makes models useful, trustworthy and capable through human preference signals. Your work will contribute to the scientific foundations of understanding AI at scale. This role is deeply interdisciplinary. You’ll work closely with engineers, product teams, marketing and the broader research community to develop new methods for comparing models, analyzing preference data, and disentangling performance factors like style, reasoning, and robustness. Your work will inform both the public leaderboard and the tools we provide to model developers. If you’re excited by open-ended questions, rigorous evaluation, and research that’s grounded in real-world impact, you’ll find a meaningful home here. We’re looking for: • Hands-on experience training large-scale models, including reward models, preference models, and fine-tuning LLMs with methods like RLHF, DPO, and contrastive learning., • Strong foundation in ML and statistics, with a track record of designing novel training objectives, evaluation schemes, or statistical frameworks to improve model reliability and alignment., • Fluent in the full experimental stack, from dataset design and large-batch training to rigorous evaluation and ablation, with an eye for what scales to production., • Deeply collaborative mindset, working closely with engineers to productionize research insights and iterating with product teams to align modeling goals with user needs. Responsibilities: • Design and conduct experiments to evaluate AI model behavior across reasoning, style, robustness, and user preference dimensions, • Develop new metrics, methodologies, and evaluation protocols that go beyond traditional benchmarks, • Analyze large-scale human voting and interaction data to uncover insights into model performance and user preferences, • Collaborate with engineers to implement and scale research findings into production systems, • Prototype and test research ideas rapidly, balancing rigor with iteration speed, • Author internal reports and external publications that contribute to the broader ML research community, • Partner with model providers to shape evaluation questions and support responsible model testing, • Contribute to the scientific integrity and transparency of the The Client leaderboard and tools Who is The Client? Created by researchers from_, The Client is an open platform where everyone can easily access, explore and interact with the world’s leading AI models. By comparing them side by side and casting votes for the better response, the community helps shape a public leaderboard, making AI progress more transparent, and grounded in real-world usage. Why Join Us? Trusted by organizations like Google, OpenAI, Meta, xAI, and more, The Client is rapidly becoming essential infrastructure for transparent, human-centered AI evaluation at scale. With over one million monthly users and growing developer adoption, our impact is helping guide the next generation of safe, aligned AI systems—grounded in open access and collective feedback. Our work is regularly referenced by industry leaders pushing the frontier of safe and reliable AI.,,, and. • High Impact: Your work will be used daily by the world’s most advanced AI labs., • Global Reach: Develop data infrastructure powering millions of real-world evaluations, influencing AI reliability across industries at the top-tier, • Exceptional Team: We are a small team of top talent from Google, DeepMind, Discord, Vercel, UC Berkeley, and Stanford. Requirements: • PhD or equivalent research experience in Machine Learning, Natural Language Processing, Statistics, or a related field, • Strong understanding of LLMs and modern deep learning architectures (e.g., Transformers, diffusion models, reinforcement learning with human feedback) Proficiency in Python and ML research libraries such as PyTorch, JAX, or TensorFlow • Demonstrated ability to design and analyze experiments with statistical rigor, • Experience publishing research or working on open-source projects in ML, NLP, or AI evaluation, • Comfortable working with real-world usage data and designing metrics beyond standard benchmarks, • Ability to translate research questions into practical systems and collaborate across engineering and product teams, • Passion for open science, reproducibility, and community-driven research What we offer: • The cash compensation for this position has not yet been finalized. Actual compensation will depend on job-related knowledge, skills, experience, and candidate location., • Competitive salary and meaningful equity, • Comprehensive healthcare coverage (medical, dental, vision), • The opportunity to work on cutting-edge AI with a small, mission-driven team, • A culture that values transparency, trust, and community impact Come help build the space where anyone can explore and help shape the future of AI.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. Internships at Planet: Planet’s Summer 2026 internships are full-time, paid 12-week positions located in our San Francisco HQ Office. Program Dates: • June 1 - August 21, • June 22 - September 11 About the Role: Join Planet's Edge Compute Team as an Edge Compute Spacecraft Intern! We conduct tech demos and operational constellations and we're designing, manufacturing and launching record-breaking numbers of spacecraft. As an intern and under the mentorship of experienced professionals, you will be an integral part of our design process, prototyping and testing edge compute modules and algorithms for processing data onboard satellites. This is a fantastic opportunity to learn, grow, and engage with seasoned Planeteers from teams such as the analytics machine learning team and work to co-develop edge computing solutions for Planet’s next generation of spacecraft. This is a full-time, remote position based in Denver, CO. If located near an office, you are expected to work from that office 3 days per week. Impact You'll Own: • Hardware/software co-development of edge computing solutions for Planet’s next generation spacecraft, • Develop pre-processing of raw imagery onboard the satellite to make them useable by the machine learning algorithms, • Collaborate with the analytics machine learning team to implement deep-learning-based classification systems on pre-processed imagery for identifying, characterizing, and classifying objects, • Explore and develop new methods for improving detection performance and improving the runtime of inference What You Bring: • Experience with computer vision, machine learning, and deep learning-based approaches, • Ability deploying algorithms and solutions to solve real-world problems in computationally constrained environments, • Proficiency in C++, Python, or related tools and system SW architecture, • MS or PhD in EE/CS/Physics What Makes You Stand Out: • Experience managing and doing GPU-based computing on large data sets, • Experience with machine learning on earth observation data sets #LI-REMOTE Application Deadline: April 13, 2026 at 11:59p PT EAR/ITAR Requirements: This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls. Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Commuter Benefits, • Paid time off for holidays and company-wide days off, • Internet reimbursement, • Access to LinkedIn Learning Compensation: The US hourly rate range for this position at the commencement of employment is $35 - $60. The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. San Francisco Salary Range $25 - $60 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. _ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. 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a.i. solutions is looking to hire interns for the FreeFlyer product group to contribute to the solution of real-world flight dynamics problems in the aerospace industry supporting customers such as NASA, the US Air Force, and commercial companies worldwide. FreeFlyer is an industry-leading commercial-off-the-shelf (COTS) flight dynamics tool that is used in ground systems supporting communications, scientific, military, and educational projects to enable mission planning and awareness. Being a FreeFlyer intern means making meaningful contributions to the future of the tool as you either work with the development team to conduct research into new technologies and develop software prototypes or work with the technical support team to use the tool and overcome challenging aerospace engineering hurdles in support of our customers. As part of this work, FreeFlyer interns will interface with all areas of the FreeFlyer product team, learn about the industry, and learn about what a.i. solutions contributes to that industry over the course of their time with our team. The successful candidate will demonstrate the ability to embrace the a.i. solutions mission and work to continually exceed the expectations of our customers. This internship will run from Monday, May 18th, to Friday, August 14th. Essential Roles & Responsibilities: • Development Focus, • Plan and run simulations on third-party tools to improve developer productivity, • Investigate performance-improving external software architectures for use in the product, • Design and develop utility and infrastructure applications for use by the FreeFlyer team, • Systems Engineering Focus, • Generate sample Mission Plans in FreeFlyer in response to customer requests, • Build and update orbital mechanics instructional materials using FreeFlyer, • Create FreeFlyer webcasts and demonstration videos to highlight new features, • Update the FreeFlyer help file both in architecture and in content, • General, • Support the FreeFlyer team’s release cycle with verification testing efforts, • Provide meaningful design feedback during group reviews of new FreeFlyer features, • Attend company group meetings to better understand the industry and how we fit into it, • Learn about the different missions the company supports and our role in those tasks Minimum Qualifications: • Full-time enrollment in 2024 towards an associates, bachelors, masters, or PhD in engineering, mathematics, physics, or related field, • Basic familiarity with flight dynamics and/or orbital mechanics, • U.S. citizenship, • Must be a Brooke Owens Fellow Desirable Experience: • Experience with FreeFlyer and excitement about flight dynamics, • Programming experience in C++, C#, and Java; working with source-controlled operational cod

_ is a rapidly growing consumer technology firm operating a suite of healthcare businesses, including our flagship brand BlueChew. Our mission is to better patients' lives through innovative healthcare solutions. With a team of 300 professionals across various specialties, we've built scalable pharmacy, telemedicine, and e-commerce platforms using cutting-edge technology. As we continue our accelerated growth trajectory, we're launching new products to expand our patient base and accelerate growth. Join us in tackling exciting challenges at the intersection of healthcare and technology. At BlueChew, "Fullstack" means more than just connecting a database to a UI. You will be building the digital bridge between a patient's medical consultation and the physical delivery of their prescription. This role is for an engineer who thrives on the "hard problems" of healthcare—maintaining strict HIPAA-compliant security and high-availability systems while delivering the sleek, intuitive user experience of a modern D2C brand. Join our team in Austin, TX or Chicago, IL - we are looking for someone who truly values and enjoys working in the office, not just tolerates it. • Architect and build key features for major business areas such as pharmacy operations, ecommerce, and telemedicine., • Produce high quality code for peer review, • Provide technical guidance for junior engineers, • Code review for peers Technology Utilization • Main programming languages: TypeScript, Python, Ruby, • Databases: SQL and no-SQL, BigQuery, MongoDB, • Frameworks, key libraries, and runtime: Angular, Node JS, AWS Chime, FreeSwitch, • Infrastructure: Google Cloud, AWS, GitHub, and on-premise servers, • Project management: Azure DevOps Notable Projects & Accomplishments • Telemedicine Platform: Proprietary system with EHR (electronic health records) integration, web-based video calls, and SIP-to-web voice conversion, • Pharmacy Software: Scalable system handling high-volume prescription fulfillment, • E-commerce Engine: Includes integrated shipping, payments, email, and more Qualifications • Education & Experience, • BS/MS/PhD in Computer Science, Math, Science, Engineering, Economics, or other highly quantitative disciplines, or equivalent experience., • Solid grasp of computer science foundations, mainly algorithms and data structures, • Expertise in one or more modern programming languages. Examples are TypeScript, Javascript, Python, Go, C++, Java, etc Ideal Profile • Has written lots of non-trivial code, • Has had to design creative engineering solutions frequently, • A problem solver with a sound computer science background., • Enjoys coming up with a new code architecture, studying a new open-source library, building a new internal library, and designing the detailed steps to implement a big feature, • Ability to learn quickly how a standard computer science algorithm works, such as graph algorithms, sorting algorithms, etc., • Should possess real expertise in at least one programming language., • BS, MS, PhD in Computer Science, Math, Science, Engineering, Economics, or other highly quantitative disciplines, or equivalent experience., • Strong understanding of core computer science principles, including algorithms and data structures, • Proficiency in at least one or more modern programming language such as TypeScript, Python, Go, JavaScript, C++, or Java Highlights • Competitive Pay, • Work on the ground floor launching new DTC medications, • Be on the cutting edge of both telemedicine and software engineering, • Contribute as a core team member of the SWE team Interview Process • 15 minute HR Screening, • 1 hour take home test with a sequence of algorithm challenges screen recorded, first 30 min without AI help, and 30 min with optional AI help, • 1 hour live technical interview with a team member focused on algorithms, • Additional technical interview with a team member focused on algorithms (1 hour), • Final round: on-site visit to our Austin office or video interview with CEO, CTO, and other senior members of the team. Perks • 100% company-paid Medical, Dental, Vision premium coverage,plus Short-Term Disability and Life Insurance., • 401K with company match., • Paid time off and company-paid holidays, • Enjoy free daily lunch We are looking for top talent that wants to make a measurable impact in an exciting, fast-paced environment in our Austin, TX or Chicago, IL offices. Fully Onsite. #LI-RG1

Software Engineer (AI-Forward) As a Software Engineer with Texas Sports Academy, you play a key role in building the software that runs our school — student records, academic mastery tracking, training data, parent portals, admissions, and the AI-powered tools our guides and coaches use every day. This is a senior, AI-forward seat. You work directly with the founders, ship code every week with AI in your loop, and own the LLM-powered features that make our school feel nothing like a traditional school. What you will be doing • Designing, building, and shipping product features across the full stack every week, with AI coding tools running alongside you., • Building real LLM-powered product features: tutoring agents, parent-facing copilots, coach-facing dashboards, retrieval over student data, evals for every one of them., • Working directly with the founders on scope, architecture, and trade-offs — no PM layer in between., • Owning the reliability, security, and cost of both classical systems and LLM pipelines., • Running your own AI coding workflow — prompts, subagents, custom tools, MCP servers — and raising the bar on how the whole team uses AI., • Writing evals and regression tests for AI features the same way you'd write unit tests for classical code. What you will NOT be doing • Pretending AI is optional — if you're not already coding with Claude Code, Cursor, Codex, or an equivalent agent loop every day, this role is not for you., • Writing tickets for junior engineers to implement., • Sitting in status meetings all day — few meetings, more shipping., • Working on a narrow slice of a giant codebase. Key responsibilities • Ship production code and AI features real students, parents, and staff rely on every day., • Own at least one major system end-to-end., • Move fast — features go from idea to production in days, not quarters — without breaking things., • Raise the AI-engineering bar as the team grows., • Bachelor's or master's degree in Computer Science, Engineering, Math, or Physics., • 6+ years of full-time production engineering experience shipping software to real users at real scale., • At least one prior senior, staff, or tech-lead role., • Daily, fluent use of AI coding tools (Claude Code, Cursor, Codex, Windsurf, Aider, or equivalent) as your default way of writing software., • At least one shipped LLM-powered feature in production, with an eval story., • Strong skills in a modern web stack (TypeScript / React / Node or Python / Postgres / AWS or GCP)., • Excellent written English, • Legal authorization to work from India or Pakistan as a remote contractor with a US company. Nice to have • Master's or PhD from a tier-1 institution., • Former founder, first-five engineer at a funded startup, or shipped products that reached real users at scale., • Agent frameworks (LangGraph, CrewAI, Mastra, custom), vector search / RAG at scale, evals (Braintrust, LangSmith, custom), prompt caching, MCP servers, structured output / tool-use reliability, voice agents., • Public GitHub or a personal AI project we can actually try., • A personal project you built because you wanted to.

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You’ll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products. An Ideal Candidate Should Have • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • Strong communication skills, both written and verbal. What we offer • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You’ll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products. An Ideal Candidate Should Have • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • Strong communication skills, both written and verbal. What we offer • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You’ll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products. An Ideal Candidate Should Have • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • Strong communication skills, both written and verbal. What we offer • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You’ll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products. An Ideal Candidate Should Have • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • Strong communication skills, both written and verbal. What we offer • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You’ll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products. An Ideal Candidate Should Have • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • Strong communication skills, both written and verbal. What we offer • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You’ll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products. An Ideal Candidate Should Have • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • Strong communication skills, both written and verbal. What we offer • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You’ll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products. An Ideal Candidate Should Have • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • Strong communication skills, both written and verbal. What we offer • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You’ll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products. An Ideal Candidate Should Have • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • Strong communication skills, both written and verbal. What we offer • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You’ll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products. An Ideal Candidate Should Have • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • Strong communication skills, both written and verbal. What we offer • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.