Sonic Nvidia Paper Jobs in Usa

Open date: February 25, 2026

Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientists at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of machine learning & data analytics.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

The Assistant/Associate/Full Project Scientists will be an integral part of a visionary scientific team driving cutting-edge biological discoveries through immediate applications of critical advances in imaging technologies. These positions will work with a dedicated team to develop data analytics software in terabyte- to petabyte-scale imaging projects. The incumbents will develop and refine machine learning applications and manage projects and provide regular progress reports to PIs and collaborators.

Successful candidates will be an integral part of the expert team working together with computational scientists and biologists in experimental design to tackle complex biological questions in a quantitative manner. The work will primarily be conducted at the facility in Barker Hall. Occasional travel may be required.

Key Responsibilities

*Make significant and creative contributions to development of new imaging and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Design, build, and maintain new software packages for efficient data processing.

*Advise on applications of these tools for biological imaging; collaborate with Postdocs and graduate students on specific projects to test, learn and implement for general and specific use cases.

*General organization and management of software documentation.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Work with petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry). Identify and implement scalable solutions to scientific questions on large-scale data sets, especially using performant algorithms.

*Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks.

*Contribute to dissemination via open source code repositories, demonstrations, publications, presentation.

These positions will be eligible for full benefits.

Lab:

Contract: ar-contract-2022/

*PhD (or equivalent international degree)

*Minimum of four years of postdoctoral research experience

*For consideration for the Associate Project Scientist rank: a minimum of 8 years of post PhD research experience

*For consideration for the full Project Scientist rank: a minimum of 14 years of post PhD research experience

*PhD or equivalent international degree in Computation Data, Computer Sciences, Bioinformatics or Related field

*Demonstrated record of productivity and publications and/or scholarly contributions

*Strong biological background and understanding of molecular biology

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond)

*Expertise in programming in C++, Labview, MATLAB, Python

*Expertise in databases, data infrastructure, data governance

*Expertise in high performance computing using SLURM or LSF

*Experience with PyTorch, JAX, or Tensorflow

*Experience with NVIDIA CUDA and related OpenMP programming

*Experience with cloud services (AWS, GCP, Azure, etc)

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc

*Experience mentoring undergraduate/graduate students, and/or technicians.

*Experience with professional speaking engagements

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Research - Provide a summary of your major research accomplishments in approximately 250 words. Additionally, please include a brief statement highlighting your experience that is directly relevant to the key responsibilities of this position

  
  

• Project Portfolio - Summary portfolio of data and/or AI projects executed, as demonstrated by publications or github contributions

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley 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, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

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U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Security Clearance Type:

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RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.

We have an exciting opportunity for a Senior Software Engineer – Embedded to join our Electro-Optical & Infrared (EO/IR) Solutions Engineering Team in McKinney, TX, which is part of our Advanced Products & Solutions group.

The Advanced Product and Solutions organization at RTX provides the joint warfighter with actionable information from an unblinking eye across the battlespace. By joining the APS Engineering team you’ll have the opportunity to design, develop and test product capabilities for Active Electronically Scanned Array (AESA) radars, integrated sensor suites, precision targeting, multispectral EO/IR targeting systems, Pilot Situational Awareness, Special mission aircraft and Strategic and tactical ISR Systems.

But more than anything, we are innovators, creators and strategists drawing inspiration from each other every day. We collaborate, iterate, and execute with an eye toward the company mission and personal career growth.

Explore our opportunities today and join us!

What You Will Do

• Supports all aspects of a software development life cycle as members of a multi-disciplined team. This would include supporting new and legacy military and commercial programs from concept and requirements, to design, development, integration, test, and potentially subsequent maintenance tasking.

• Uses and provides creative solutions to complex technical system and software integration problems.

• Works closely with Systems Engineers to design ideal solutions with the end user and operational needs in mind.

• The ability to obtain and maintain a Secret U.S. government issued security clearance and a Special Access Program security clearance. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

• Work onsite at McKinney, TX [relocation eligible]

• This position will require occasional business-related travel.

Qualifications You Must Have

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience unless prohibited by local laws/regulations.

• Development experience on Linux, VxWorks, or other Real Time Operating Systems.

• Experience using object-oriented programming and C++ design paradigms.

• Experience in developing, testing, and integrating real-time software applications written in C++.

• Additional experience in coding using C, C#, Java or closely related software languages.

• Working knowledge in computer scripting language such as Shell/Perl/Python.

• Experience working with multi-discipline team(s).

• Active and transferable U.S. government issued Secret security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer

• Experience working in lab environments with physical hardware (e.g., test benches, simulators).

• Ability to quickly understand and navigate complex systems and established code bases.

• Experience with product development utilizing the Scrum techniques of the Agile software development process.

• Experience with DevSecOps pipeline implementation and utilization, including Static Code Analysis, Automated Build, and Automated Test techniques using continuous integration/continuous delivery with Test-Driven Development approach.

• Hands-on experience with Git for version control and GitLab for repository management.

• Ability to manage multiple priorities.

• Experienced in developing in CUDA to accelerate compute-intensive workloads on Nvidia GPUs.

What We Offer

Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, Innovation, and Safety.

Learn More & Apply Now!

Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

Clearance Information: This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here:  

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

RTX 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, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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Field Applications Engineer – Aerospace & Space Systems

Location: Los Angeles, California, United States

A leading developer of rugged embedded computing systems used in aerospace, defense, and space applications is looking for a Field Applications Engineer to support customers across the United States. This role acts as the technical bridge between customers, engineering teams, and business development, helping aerospace and defense organizations integrate mission-critical computing solutions into their systems.

Responsibilities

• Serve as the primary technical point of contact for US customers.
• Provide pre-sales and post-sales technical support across aerospace, defense, and space programs.
• Work with customers to define system requirements and identify appropriate solutions.
• Deliver technical presentations, product demonstrations, and customer workshops.
• Collaborate with engineering, operations, and program teams to resolve technical challenges.
• Support business development by helping translate customer requirements into technical solutions.
• Contribute to technical documentation, including application notes and integration guidance.

Requirements

• 5+ years of experience in embedded hardware or software development/support.
• 3+ years in a customer-facing engineering role (Field Applications, technical sales, or field engineering).
• Bachelor’s degree in Electrical Engineering, Computer Science, or related field.
• Strong understanding of embedded computing systems.
• Ability to communicate technical concepts clearly to customers and internal teams.

Due to regulatory requirements, candidates must qualify as a U.S. Person under ITAR regulations.

Preferred Experience

• Aerospace, defense, or space industry experience.
• SpaceVPX or cPCI architectures.
• ARM or PowerPC processor architectures.
• Embedded operating systems such as VxWorks or Linux.
• NVIDIA embedded GPU platforms.

Why Join?

• Work on mission-critical computing systems used across land, air, sea, and space.
• Collaborate with major aerospace primes and innovative space companies.
• Join a company at the forefront of embedded computing technology.

Due to the number of applicants, if you have not received feedback after 2 weeks of applying, then unfortunately, you have been unsuccessful.

Talent Acquisition Manager – AI Infrastructure & Engineering

San Francisco, California

Hybrid Working

We are expanding our global team and launching a new office in San Francisco.

WNTD is looking for an experienced Talent Acquisition Manager to join our Talent Solutions team and support the continued growth of AI infrastructure and accelerated compute platforms across North America.

This role will support one of the most significant AI infrastructure expansion programmes currently underway, focused on building next generation platforms powered by NVIDIA accelerated compute.

You will work closely with senior technical leaders to attract and hire talent across the full infrastructure stack including software engineering, AI platforms, GPU environments and large scale compute infrastructure.

This is a delivery focused role supporting high growth engineering programmes across AI infrastructure and cloud platforms.

The Role

You will lead hiring across multiple engineering disciplines spanning software engineering, AI infrastructure platforms and high performance compute environments.

Working closely with technical leadership and programme stakeholders, you will build pipelines of high quality candidates and manage fast moving hiring plans across several technical workstreams.

Key Responsibilities

• Build and manage talent pipelines across software engineering, AI infrastructure and GPU compute environments

• Proactively source talent across the United States through mapping, referrals and direct outreach

• Screen candidates for technical capability, experience and long term fit

• Partner with engineering leaders to define hiring priorities and role requirements

• Maintain clear tracking of hiring pipelines and delivery progress

• Support wider Talent Solutions activity during peak delivery phases

• Ensure a professional and consistent candidate experience

• Champion fair and inclusive hiring practices

Key Experience

• Proven experience hiring across complex engineering environments

• Strong track record building pipelines across software and infrastructure roles

• Comfortable engaging with technical stakeholders and discussing engineering topics

• Excellent communication and stakeholder management skills

• Strong organisation with the ability to manage multiple roles simultaneously

What We Offer

• Competitive salary and benefits

• Opportunity to support one of the fastest growing AI infrastructure build programmes globally

• Growth within a high performing delivery focused team

• Hybrid working model

• A collaborative culture that values ownership, pace and problem solving

Additional Requirements

• Ability to commute to the San Francisco office

• No visa sponsorship available

• Hybrid working model

We are seeking a Senior Robotic Simulation Engineer with deep, hands-on expertise in building high-fidelity simulation environments and synthetic data pipelines using NVIDIA Isaac Sim or similar.

In this role, you will directly contribute to the development of scalable, realistic virtual worlds that power the training and validation of robotic foundation models for perception, planning, and manipulation.

At GM’s manufacturing technology development team, you’ll work closely with robotics and AI teams within the Manufacturing Technology Development (MTD) team to create simulation scenes that replicate complex manufacturing environments, generate diverse synthetic datasets, and build robust data workflows that accelerate model development and deployment.

Key Responsibilities • Build and customize simulation scenes in Isaac Sim that accurately reflect real-world robotic tasks and factory layouts • Develop synthetic data generation pipelines, including randomized object placement, sensor simulation, and multi-modal annotations (RGB, depth, segmentation, point clouds) • Implement and maintain data processing workflows, ensuring data quality, traceability, and compatibility with ML training pipelines • Optimize simulation performance and realism, tuning physics parameters, asset fidelity, and rendering configurations for scalable experimentation • Collaborate with robotics engineers and ML scientists to align simulation outputs with model requirements and support sim2real transfer • Conduct hands-on testing and debugging, iterating on simulation setups and synthetic data strategies to improve model robustness • Document workflows and contribute to best practices, enabling reproducibility and knowledge sharing across teams Required Qualifications • MSc or PhD in Robotics, Computer Graphics, Computer Vision, or related field • 3+ years of hands-on experience in robotics simulation, synthetic data generation, or virtual environment development • Proficiency with Isaac Sim, Omniverse, or similar simulation platforms • Strong programming skills in Python and C++, with experience in simulation APIs and data annotation tools • Familiarity with 3D vision, sensor modeling, and domain randomization techniques • Experience integrating simulation outputs into ML pipelines for training and evaluation Preferred Qualifications • Experience with robotics frameworks (e.g., ROS/ROS2, MoveIt, Nav2) • Experience with robotics simulation platforms (e.g., IsaacSim, MoJoCo, Gazebo) or Game engine (e.g., Unreal, Unity) • Background in industrial automation, autonomous vehicles, or robotic manipulation • Publications or contributions in simulation, synthetic data, or robotics venues (e.g.

ICRA, RSS, CVPR) • Familiarity with CI/CD pipelines and modern software development practices such as Bash, Github, Bazel, Docker

Vice President of AI Infrastructure & Engineering

Reporting to: CEO

Position Overview

*Build and Overscale Training Platform:* Design and maintain high-performance training architecture supporting GPU clusters at the scale of tens of thousands of cards.

*Key Focus:* Establish a unified task scheduling and model management system (MLOps). All model training, checkpoint storage, and code version control must be exclusively conducted through this platform.

*Engineering-Led Data Governance:*

Develop end-to-end data processing pipelines covering cleansing, annotation, versioning, and secure storage.

*Key Focus:* Implement rigorous data access audit logs and data lineage tracking to ensure security and compliance of core data assets.

*Developer Experience as Control Mechanism:*

Maximize experimental efficiency through standardized toolchains, enabling researchers to focus solely on algorithm development without managing underlying configurations.

*Key Focus:* Codify “best practices” into reusable code templates.

*System Reliability and Disaster Recovery:*

Implement fault tolerance, automated model snapshot archiving, and continuity protocols to prevent loss of critical assets due to single points of failure (hardware or human).

Qualifications

*Background:* 10+ years in distributed systems, cloud computing, or high-performance computing (HPC), with prior experience in core infrastructure teams at leading firms such as Google, Meta, AWS, or NVIDIA.

*Mindset:* Exceptional engineering rigor with a focus on building stable, scalable systems rather than solely pursuing algorithmic innovation. Service-oriented attitude with a commitment to empowering top-tier scientists.

*Technical Skills:* Proficiency in orchestration systems such as Kubernetes, Ray, or Slurm; familiarity with PyTorch distributed training frameworks; deep understanding of data security and access control mechanisms.

The future of AI whether in training or evaluation, classical ML or agentic workflows starts with high-quality data.

At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.

Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems.

Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines powering everything from model training datasets to eval test sets to continuous feedback loops. We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems we'd love to talk.

HumanSignal is looking for an exceptional Strategic Account Executive to drive growth with the world's most innovative AI companies. You'll be selling at the cutting edge: our Label Studio platform and Data Creation Laboratory services power the training data behind breakthrough AI applications at frontier labs and Fortune 500 enterprises.

This isn't traditional SaaS sales. Our customers are building the futureadvanced language models, autonomous systems, embodied AI, and applications that don't exist yet. They need purpose-built datasets manufactured from scratch, not scraped from the web. You'll be selling both our platform technology and our operational capability to create novel training data in controlled environments. The technical depth, deal complexity, and strategic importance of these relationships make this one of the most exciting sales roles in AI infrastructure.

You'll own relationships with AI leaders like Anthropic, OpenAI, Google DeepMind, Meta, Nvidia, Tesla, and others pushing the boundaries of what's possible. Your success will directly enable the next generation of AI breakthroughs.

You Will:

• Own strategic accounts: Drive the entire relationship with our most important AI customersfrom initial engagement through expansion and renewal
• Hunt and close new logos: Identify and win new customers among frontier AI labs, tech giants building AI capabilities, and innovative robotics companies
• Navigate complex organizations: Build deep relationships with executive stakeholders across engineering, ML research, product, and operations within customer organizations
• Drive revenue growth: Expand wallet share by identifying new use cases, additional business units, and opportunities to deepen our partnership
• Orchestrate internally: Lead cross-functional teams including delivery operations, engineering, product, and laboratory operations to develop winning strategies and flawless execution
• Be the customer advocate: Serve as the voice of the customer internally, influencing product roadmap and operational capabilities based on market needs
• Solve complex problems: Navigate technical requirements, custom data creation scenarios, and novel use cases that have never been done before
• Think strategically: Develop and execute comprehensive account plans that position HumanSignal as the long-term data infrastructure partner
• Close significant deals: Structure and negotiate contracts ranging from $500K to $5M+ with sophisticated technical and business buyers

Ideally You'd Have:

• 8+ years of enterprise sales or account management experience with a track record of exceeding quota
• 2+ years selling deeply technical products or services to both business and technical audiences (ML engineers, researchers, AI/ML leaders)
• Proven success closing complex, multi-stakeholder deals in the $500K-$5M+ range
• Experience in AI/ML, data infrastructure, cloud services, or other technical domains where you've sold to engineering and research teams
• Ability to understand technical concepts quickly and translate them into business value
• Strong consultative selling skills with ability to uncover needs, navigate ambiguity, and co-create solutions
• Executive presence and experience developing relationships with C-level stakeholders
• Track record of driving renewals and expansion within strategic accounts
• Excellent written and verbal communication skills, including creating executive-level materials
• Proficiency with modern sales tools (Salesforce, Outreach, Clari, LinkedIn Sales Navigator)
• Strong project management abilities and exceptional organizational skills
• Passion for AI and excitement about working at the frontier of what's possible

Nice to Haves:

• Technical background or degree in Computer Science, Engineering, or related field
• Experience selling services alongside software products
• Understanding of how training data impacts model performance
• Existing relationships within the AI research or frontier lab community
• Experience in fast-growing startups where you've helped build sales processes from scratch

Why This Role Is Special:

You're not selling commodity softwareyou're enabling the teams building AGI, autonomous vehicles, humanoid robots, and AI applications we can't even imagine yet. Every deal you close helps unlock new capabilities that could change the world. You'll work with the smartest people in AI, solve problems that have never been solved before, and build relationships with companies defining the future of technology.

About HumanSignal:

At HumanSignal, we're building the infrastructure for the next generation of AI. Our Label Studio platform powers data operations for leading organizations worldwide, while our Data Creation Laboratories manufacture the purpose-built datasets that breakthrough AI applications require.

We believe the next frontiers in AI won't be unlocked by scraping what's left on the webthey'll be built on human-created data that captures the complexity of how systems need to see, hear, reason, and react. Through controlled environments and operational excellence, we're enabling researchers and enterprises to innovate without being constrained by data availability.

We work with frontier AI labs, Fortune 500 enterprises, and government agencies who are pushing the boundaries of what's possible with AI. Join us in building the data that will build the future.

We are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status. At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $120,000 to $200,000 USD plus commission. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

As a Hivemind Build and CI engineer, you will design and implement engineering centric automation across the organization. You will work closely with the product development teams implementing policies and guidelines into the continuous integration and delivery systems. This role requires you to be very hands on and contribute to discussions with cross-functional teams across the organization. We embrace an attitude that focuses on solving the root cause of problems efficiently. A large part of your day to day will be in our build pipelines, build configuration management, and focusing on making changes to increase developer iteration time.

What you'll do:

• Own the Hivemind CI/CD system, engaging with autonomy developers and the Developer Experience team daily to support as needed.
• Manage and own the monitoring tool stack, focusing on build infrastructure metrics
• Manage and own internal build containers used by all of the Hivemind organization
• Support AI engineers with build issues, and educate on best practices
• Work closely with the Developer Experience team to improve engineering efficiency

Required qualifications:

• BS in computer science or related engineering field with 3+ years of professional experience.
• Experience with configuration management tools (Makefile, CMake, Conan, Bazel, etc.)
• Strong demonstrated proficiency in continuous integration/delivery (e.g. Github Actions, ADO, TeamCity, etc.).
• Strong understanding of C++ (or other compiled language), Linux and CMake
• Strong knowledge of APIs, web services, and identity access management
• Strong knowledge of containers (e.g. Docker, Podman, etc.).
• Strong knowledge of scripting languages (Bash, Python, PowerShell).
• Strong knowledge of Git.
• Strong system administration in Linux (w/ Windows a bonus).
• Strong desire to learn and grow on the job.

Preferred qualifications:

• Strong Experience with Conan Package Manager
• Experience with Rust in a production environment.
• Experience with Hardware in the Loop build/deploy/test systems
• Experience owning build infrastructure
• Experience with NVIDIA Jetson products

$120,000 - $180,000 a year

Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and keeping commerce human.

Salary Range: $252,000.00 - $328,000.00

What's the role? We are looking for a Senior Engineering Manager to lead our Models team. In this role, you will manage a team of motivated ICs to build the next generation of Etsy's models platform, which in turn will enable your customer teams to improve the quality of search, ads, recommendations, and other ML applications for nearly 100M buyers and over 5M sellers. Do you have a passion for training, serving and scaling machine learning models? Are you excited by the challenges of building a platform for diverse machine learning use cases? Are you motivated to lead and develop ICs at different stages of their careers? If so, this could be the perfect match. This opportunity is a full-time position reporting to the Director of Engineering for ML Enablement. This position will be in Brooklyn, NY or for remote candidates based in the United States.

What's this team like at Etsy? The Machine Learning Enablement Initiative builds and maintains a complete ecosystem of ML systems including our feature & embeddings store, model training, serving, orchestration and testing infrastructure. The Models team is responsible for the model catalog, APIs, and serving infrastructure that runs our online models at high scale (millions of inferences per second). It is a small team historically focused on operations, but transitioning to play a more direct role in the application layer. The team is presently leading Etsy's migration from Tensorflow to Pytorch, building upon an innovative architecture designed in-house and based on KServe, NVIDIA Triton, Apache Arrow, and Ray. We are using this opportunity to fill in historical gaps in automation, integration, and standardization across the ML platform. We aspire to unify modeling approaches across all major ML development teams at Etsy. This is a big, challenging opportunity to influence how models are created, trained, and deployed across the entire company!

What does the day-to-day look like? Meet with customers to understand their latest use cases. Work with your team and partners to translate those use cases into concrete requirements. Offer an informed point of view on engineering, system design, and machine learning considerations. Keep track of ongoing issues (stability, performance, cost) with models on the platform, and identify short-term fixes and long-term platform improvements. Maintain a product roadmap, lead agile processes and plan workstreams for a team of 4 ICs. Occasionally lead multi-functional \"tiger teams\" for dedicated projects. Coach your ICs and support their career development trajectories. Own and maintain the team's customer-facing surfaces: documentation, code examples, metrics, dashboards, UIs, launch announcements, etc. We are proud of our engineering culture that encourages career growth and learning in a blameless environment. You can learn more about our philosophies, tools, and some of the challenges we've been solving on our Engineering blog. Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.

Qualities that will help you thrive are: A strong track record of developing and serving machine learning models at scale, with at least 4 years in a leadership capacity (tech lead or EM) and 2 years as an engineering manager. You like to be deep in the technical work, but you can also build partnerships across teams in a highly collaborative environment. Passion for building platforms that don't just work, but that are easy to maintain and extend, and are delightful to use. You are a strong collaborator, communicator, and coach and you are passionate about helping the engineers around you grow and learn. You have 5+ years of experience building, iterating and solving complex problems with a significant backend component. Background and hands-on experience with Cloud technologies (Google Cloud, AWS, Kubernetes) is a plus.

Additional Information If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status, or any other characteristic protected by applicable law. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.