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Remote Autonomous Systems Engineer Jobs in Miami, FL

Serve Robotics

Remote Supervision Coordinator

Miami, FL · On-site +1

$55K - $64K/yr

Coordinate with internal operations, engineering, and support teams to escalate issues, communicate ... Interest in robotics, autonomous systems, or emerging technology Additional Information * Work ...

Kubikware

AI Engineer (Latam, Remote)

Aventura, FL · On-site +1

We are looking to expand our amazing roster with a AI Engineer , located in Latin America. As we ... High level of ownership and autonomy * Compensation in U.S. Dollars If you are as excited to learn ...

Kubikware

AI Engineer (Latam, Remote)

Miami, FL · Remote

We are looking to expand our amazing roster with a AI Engineer , located in Latin America. As we ... High level of ownership and autonomy * Compensation in U.S. Dollars If you are as excited to learn ...

ITRADE STEM

Lead Frontend Engineer

Miami, FL · Remote

J OB OVERVIEW: We're seeking a Lead Frontend Engineer to join our client's team in a remote ... Develop and maintain a robust design system leveraging Tailwind, ShadCN, and Bits-ui to ensure ...

Octagon Talent

Lead Frontend Engineer

Aventura, FL · Remote

J OB OVERVIEW: We're seeking a Lead Frontend Engineer to join our client's team in a remote ... Develop and maintain a robust design system leveraging Tailwind, ShadCN, and Bits-ui to ensure ...

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All JobsAutonomous Systems Engineer JobsRemote Autonomous Systems Engineer JobsRemote Autonomous Systems Engineer Jobs in Miami, FL

Remote Autonomous Systems Engineer information

See Miami, FL salary details

$51.2K

$121.7K

$159.7K

How much do remote autonomous systems engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for remote autonomous systems engineer in Miami, FL is $121,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $150,200.00 per year, depending on experience, location, and employer.

What are Remote Autonomous Systems Engineers?

Remote Autonomous Systems Engineers are professionals who design, develop, and maintain autonomous systems—such as drones, robots, or vehicles—while working remotely. They use advanced software, sensors, and algorithms to ensure these systems can operate independently and safely. Their work involves tasks like programming control systems, integrating hardware components, and troubleshooting issues from a remote location. These engineers often collaborate with teams virtually and leverage cloud-based tools to monitor and update autonomous systems deployed in various environments.

What are some common challenges faced by Remote Autonomous Systems Engineers, and how can they be addressed?

Remote Autonomous Systems Engineers often encounter challenges related to communication and collaboration, as they work with multidisciplinary teams across different locations and time zones. Managing system integration and troubleshooting without on-site access can also pose difficulties, requiring strong documentation and remote diagnostic tools. Staying updated on rapidly evolving technologies in autonomy further demands ongoing learning. To address these challenges, engineers should leverage clear communication channels, utilize collaborative platforms, and participate in continuous training opportunities.

What are the key skills and qualifications needed to thrive as a Remote Autonomous Systems Engineer, and why are they important?

To thrive as a Remote Autonomous Systems Engineer, you need a strong background in robotics, control systems, programming (such as Python or C++), and a relevant engineering degree. Experience with simulation tools like ROS (Robot Operating System), MATLAB, and familiarity with machine learning or AI frameworks are typically required, along with certifications in automation or robotics being advantageous. Strong problem-solving skills, self-motivation, and effective remote communication set top candidates apart in this role. These skills and qualities are essential for designing, troubleshooting, and improving autonomous systems while collaborating efficiently within distributed teams.
What are the most commonly searched types of Autonomous Systems Engineer jobs in Miami, FL? The most popular types of Autonomous Systems Engineer jobs in Miami, FL are:
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What job categories do people searching Remote Autonomous Systems Engineer jobs in Miami, FL look for? The top searched job categories for Remote Autonomous Systems Engineer jobs in Miami, FL are:
What cities near Miami, FL are hiring for Remote Autonomous Systems Engineer jobs? Cities near Miami, FL with the most Remote Autonomous Systems Engineer job openings:
Remote Autonomous Systems Engineer jobs near you
Infographic showing various Remote Autonomous Systems Engineer job openings in Miami, FL as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,674 per year, or $58.5 per hour.

Software Engineer, Distributed Systems (Core)

Career Renew

Miami, FL • Remote

$180K - $320K/yr

Full-time

Posted 4 days ago

Job description

Career Renew is recruiting for one of its clients a Software Engineer, Distributed Systems (Core) - this is a fully remote role for US/Canada candidates. Salary range: 180-320K USD yearly plus benefits plus equity. Visa sponsorship available.

Our mission is to empower everyone to take action on their data. Hundreds of companies, including Autotrader, Calendly, Cars.com, Monday.com, and PetSmart, trust us to power their growth.


We pioneered the Composable Customer Data Platform (CDP), which lets companies use their own data warehouse to collect, prepare, and activate customer data for marketing personalization and business operations. Our new AI Decisioning platform goes a step further, allowing marketers to set goals and guardrails that AI agents can then use to personalize 1:1 customer interactions. Traditionally, only technical teams had the skills to access and use customer data. With us, every business user can deliver personalized customer experiences, optimize performance marketing, and move faster by leveraging data and AI across their organization.

We are looking for a distributed systems engineer to work on the systems that power the syncing engine our customers and other engineering teams rely on. This presents an exciting challenge where you can apply your expertise in distributed systems, performance optimization, and troubleshooting to push the boundaries of what is possible and meaningfully improve our ability to move massive amounts of customer data. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base.


We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company.


Some of the problems we’ll be working on include:

  • Sync Speed: Customers want to sync a lot of data to important destinations like Facebook and Snapchat, which requires us to analyze every part of our syncing process and find where we can optimize to sync data more quickly

  • Streaming Syncing: We currently sync data from sources in batch only, but envision a world where we also do syncs in real-time and support streaming sources like webhooks and queues

  • Scalability and Reliability: As part of our rapid growth, we’re always evaluating current future bottlenecks in scaling and reliability, and architecting for the next order of magnitude of growth

  • Personalization API: Our Personalization API product provides a low latency caching layer on top of data warehouses that enable customers to use their data warehouse for real-time personalization use cases with <30ms p90 response times with QPS in the millions

  • Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch our platform in new regions to support data residency requirements of our global customer base

Requirements:
7+ years of experience as a software engineer with a very high level of general aptitude and work in distributed systems (Mandatory)
Have been part of high velocity startup through high stages of growth, Series B - Series E (i.e Stripe, Kong, Semgrep) (Mandatory)
Staff level minimum with a history of getting promoted quickly at the listed companies. (Mandatory)
Have graduated from a top 30 CS program such as: University of Waterloo, Harvard, Columbia, Princeton, Stanford, UC Berkeley, MIT, CMU, CalTech, Cornell, Duke, Dartmouth, Brown, IITs (Mandatory)
Extremely strong in systems design fundamentals and understanding of how large scale distributed systems behave (Mandatory)
You’ve created event collection or data streaming services that power company critical systems ( work with message queues, Kafka, SQL databases, Kubernetes, Docker) (Mandatory)
You’ve owned systems that have undergone orders of magnitude of growth and helped them scale accordingly (Mandatory)
You’ve built data sync engines that process and move terabytes of data per day in a scalable way (Nice-to-have)
Work close to the infrastructure layer of code, someone who knows how even the tools (i.e. spark, flink, kafka) are built (Nice-to-have)
Extremely strong communication skills, and are a fast learner who is excited to take on the challenges we face (Mandatory)