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Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential. About The Role Join the cutting-edge team building the data platform that powers fleet-scale humanoid robotics. As a Staff Software Engineer on our Data Platform team, you will play a pivotal role in designing, developing, and maintaining the infrastructure that enables efficient ingestion, processing, discovery, serving, and analysis of massive datasets generated by our robots. Your work will directly contribute to improving robot performance, operational insights, and scaling our cloud-based systems. Key Responsibilities Data Ingestion: Design and implement scalable data pipelines for ingesting and processing telemetry, logs and sensor data from our fleet of robots and associated cloud software Data Agents: Develop and maintain data ingestion agents running directly on robot software to ingest high volume data in low connectivity environments. Data Formats: Maintain and develop data formats and protocols optimized for transmission, storage and query of data recordings, sensor data and telemetry. Observability systems: Develop and maintain observability systems using tools like fluentbit, OpenTelemetry etc enabling real-time monitoring and analytics of fleet operations. Big Data Processing: Implement solutions to prepare high volume, high velocity data for analysis using technologies such as Spark, Kafka or equivalent Cloud Platform: Build and optimize tools for internal stakeholders for business intelligence and long-horizon fleet analytics and forecasting using existing tools like AWS S3, Athena, Sagemaker etc. IoT integration: Leverage IoT experience to improve data collection and processing pipelines from robot sensors and edge devices. Required Qualifications 5+ years of strong experience in building and scaling cloud-based data platforms with familiarity in cloud providers like AWS, GCP or Azure. Proficient in big data frameworks like Spark, Kafka, Beam, Flink etc Familiarity with OSS data formats like Parquet, Arrow, Iceberg and protocols like Avro and Protobuf. Experience with observability tools(e.g. OpenTelemetry, Prometheus etc) and implementing metrics, tracing and logging systems Proficiency in languages like Java, Scala (any JVM), or Python and a solid understanding of distributed systems and microservices architectures. Bonus Qualifications Experience with Robotics, Autonomous Vehicles, or other sensor heavy workloads will be strongly preferred. Knowledge of IoT systems, edge computing or working with embedded devices is nice-to-have. Data catalog experience (Datahub, Amundsen, Databricks Unity Catalog) Experience with Databricks Experience with Kubernetes Experience with Bazel/Blaze or other build systems Experience with C++, Rust Experience with robot data formats like mcap, ROS etc and data playback and visualization tooling like Rerun etc. This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future. Anticipated Base Salary Range $191,000 — $299,000 USD In addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.