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Remote Autonomous Driving Engineer Jobs in Colorado

... remote. Why This Role Exists We operate a large-scale, multi-tenant SaaS platform supporting ... Now, the organization is evolving toward intelligent automation and agentic AI systems: autonomous ...

Senior Sales Engineer, Enterprise Air

Denver, CO ยท Remote

$107K - $147K/yr

Remote- travel up to 50% of time Reports to : Sr. Director, Sales Engineering Profile of Success ... Highly autonomous operator comfortable with ambiguity who still remains deeply collaborative and ...

Senior Platform Engineer, Connectivity

Denver, CO ยท On-site +1

$107K - $147K/yr

Remote: Quarterly travel to hub locations for team syncs and alignment. Our Performance Culture We ... How You'll Work - Our Core Values At Simplesense, we value high-trust autonomy. We look for ...

Backend Engineer

Denver, CO ยท Remote

$90/hr

Clerkie is a remote-first company, with over 40 employees spanning 4 time zones across the United ... At Clerkie, engineers operate with a high degree of ownership and autonomy. You'll collaborate ...

Senior Network Development Engineer

Denver, CO ยท On-site +1

$107K - $146K/yr

Remote: Quarterly travel to hub locations for team syncs and alignment. Our Performance Culture We ... How You'll Work - Our Core Values At Simplesense, we value high-trust autonomy. We look for ...

New

Senior Infrastructure Automation Engineer

Denver, CO ยท On-site +1

$111K - $151K/yr

Remote: Quarterly travel to hub locations for team syncs and alignment. Our Performance Culture We ... How You'll Work - Our Core Values At Simplesense, we value high-trust autonomy. We look for ...

New

Senior Platform Engineer, Connectivity

Denver, CO ยท On-site +1

$107K - $147K/yr

Remote: Quarterly travel to hub locations for team syncs and alignment. Our Performance Culture We ... How You'll Work - Our Core Values At Simplesense, we value high-trust autonomy. We look for ...

Showing results 21-40

Remote Autonomous Driving Engineer information

What is a remote autonomous driving engineer?

A Remote Autonomous Driving Engineer is a professional who designs, develops, tests, and implements software and systems that enable vehicles to operate without direct human control. These engineers often work remotely, using cloud-based tools and simulations to collaborate with teams and test autonomous driving algorithms. Their responsibilities may include sensor integration, perception modeling, path planning, and ensuring safety and compliance with industry standards. They play a key role in advancing self-driving technology by working on cutting-edge machine learning, computer vision, and robotics challenges.

What are the key skills and qualifications needed to thrive as a remote autonomous driving engineer, and why are they important?

To thrive as a Remote Autonomous Driving Engineer, you need a strong background in robotics, computer vision, machine learning, and programming languages like Python or C++, often backed by a degree in engineering or computer science. Experience with simulation tools (e.g., ROS, CARLA), real-time data processing, and knowledge of automotive safety standards or certifications such as ISO 26262 are typically required. Excellent problem-solving skills, remote communication abilities, and adaptability are crucial soft skills for collaborating with distributed teams and addressing complex challenges. These competencies ensure the safe and efficient development of reliable autonomous driving systems in a remote work environment.

What are the unique challenges of collaborating with global teams as a remote autonomous driving engineer?

As a Remote Autonomous Driving Engineer, you'll frequently collaborate with cross-functional teams spanning different time zones and regions. This can present challenges such as coordinating meetings, managing asynchronous communication, and ensuring clear documentation of technical requirements. To succeed, it's essential to develop strong written communication skills and utilize collaborative tools for version control, code review, and project management. Building relationships with colleagues remotely also requires proactive engagement and regular check-ins to maintain alignment on project goals.

What is the difference between Remote Autonomous Driving Engineer vs Remote Autonomous Vehicle Software Developer?

AspectRemote Autonomous Driving EngineerRemote Autonomous Vehicle Software Developer
Required CredentialsEngineering degree, specialized in autonomous systems, certifications in robotics or AISoftware development background, experience with autonomous vehicle software, relevant certifications
Work EnvironmentCollaborates with hardware teams, field testing, simulation environmentsFocuses on coding, software testing, simulation, and integration
Industry UsageDesigns and tests autonomous driving systems, sensor integrationDevelops software components for autonomous vehicles, algorithms, and control systems

While both roles involve autonomous vehicle technology, the Remote Autonomous Driving Engineer focuses on system design, testing, and integration of autonomous driving systems, often working closely with hardware. The Remote Autonomous Vehicle Software Developer primarily concentrates on coding, software development, and simulation tasks within autonomous vehicle software platforms.

What are popular job titles related to Remote Autonomous Driving Engineer jobs in Colorado?

For Remote Autonomous Driving Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Remote Autonomous Driving Engineer jobs in Colorado look for?

The top searched job categories for Remote Autonomous Driving Engineer jobs in Colorado are:

What cities in Colorado are hiring for Remote Autonomous Driving Engineer jobs?

Cities in Colorado with the most Remote Autonomous Driving Engineer job openings:

Infographic showing various Remote Autonomous Driving Engineer job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior MLOps Platform Engineer {S}

Careers - Stratagem - Make a Lasting Impact

Colorado Springs, CO โ€ข On-site, Remote

$90K - $123K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

ARKA Group L.P. (โ€œARKAโ€) is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today.

Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now!

Position Overview:

Our AI Center of Excellence builds the next generation ofย Agentic AIย products that autonomously reason, plan, and act on behalf of our customers. To deliver these capabilities at scale, we need a platform engineering group that provides a robust, secure, andย highly availableย MLOpsย foundation across bothย on premiseย clusters and AWS. The team works closely with data scientists, product engineers, and SREs to turn experimental models into reliable services that powerย mission criticalย applications.ย 

In support of work/life balance, many positions are available for a flexible schedule within the pay period.ย  Ask us about the opportunity for flex scheduling if thatโ€™s of interest to you.ย 

Why join usย 

  • Shape theย end-to-endย lifecycle ofย cutting-edgeย AI servicesโ€”from model training to production inference.ย 
  • Influence architecture decisions for a hybrid cloud environment that will serve thousands of concurrent agents.ย 
  • Collaborate with world-class researchers and product teams while enjoying a strong engineering culture focused on automation, observability, and reliability.ย 

      Responsibilities:ย 

      • Design, implement, andย operateย a unifiedย MLOpsย platformย that supports bothย on-premiseย Kubernetes clusters and AWS. The platform should enable rapid onboarding of newย Agentic AIย services and provide consistent governance across environments.ย 
      • Develop reusable CI/CD pipelinesย (GitLab CI) for model packaging, containerization, automated testing, canary releases, and rollbacks.ย 
      • Build observability, monitoring, and alerting stacksย (Prometheus, Grafana,ย OpenTelemetry, CloudWatch) to track inference latency, throughput, resourceย utilization, andย data driftย forย real timeย and batch workloads.ย 
      • Createย self-serviceย toolingย (CLI, SDKs, UI dashboards) that allowsย data scienceย and product teams to register models, define inference endpoints, and manage versioning without deep DevOps involvement.ย 
      • Architect andย maintainย data pipelinesย that feed training data, model artifacts, and inference logs into a governed data lake (S3,ย on premย object store).ย 
      • Collaborate with research and product engineersย to translate experimentalย Agentic AIย prototypes intoย production gradeย services, ensuring reproducibility, security, and compliance.ย 
      • Drive performance optimizationย for inference workloads (GPU/CPU scaling, model quantization, batching strategies)ย 
      • Champion best practicesย in security (IAM, network policies, secret management),ย cost efficiency, andย disaster recoveryย for the hybrid infrastructure.ย 
      • Mentor junior engineersย and contribute to internal knowledge bases,ย upskilling, and reviewย processes.ย 

      Required Qualifications:

      • BS in computer science or related engineering field
      • 5+years of experienceย building and operating production gradeย softwareย infrastructure, preferably inย a hybrid onpremย / cloud environment
      • Deep expertise with Kubernetesย (cluster provisioning, Helm, operators, custom resources) and container runtimes (Docker, OCI)
      • Hands on experience with AWS servicesย (EKS, SageMaker, S3, IAM, CloudWatch, Step Functions) and the ability to bridge onprem resources with AWS via VPN/Direct Connect
      • Strong software engineering skillsย in Python and at least one compiled language (Go,ย Rust, or Java) for building platform components and SDKs
      • Proficiency with CI/CD andย GitOpsย toolingย (Argo CD, Flux,ย Gitlab, GitHub Actions,ย or similar)
      • Solidย understanding of distributed systems (consensus, fault tolerance, load balancing) and experience tuning high throughput, low latency inference pipelines
      • Experience with data engineering frameworksย (Airflow, Prefect, Kafka, Spark, Flink) and building robust, versioned data pipelines
      • Familiarity with observability stacksย (Prometheus, Grafana,ย OpenTelemetry,ย ELK) andย the ability to define meaningful SLIs/SLOs for AI services
      • Track record of collaborating with research or product teamsย to move prototypes to production, translating experimental code into maintainable services
      • Strongย problem solvingย mindset, excellent written and verbal communication, and a passion for building scalable AI platforms

      Preferred Qualifications:

      • Working knowledge of Scrum and Agile software development methodology

      Location: Remote

      This is a remote position that will primarily be supporting our Aurora, CO and King of Prussia, PA locations.ย  Due to contract requirements, the job has to be performed from a remote location in the United States.

      What We Offer:

      • Comprehensive medical/vision/dental insurance packages
      • Company contributions to qualified HSA accounts
      • 401k retirement plan with industry leading company contributions
      • 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
      • 13 paid holidays
      • Upfront tuition assistance for approved degree programs
      • Annual bonus program based on company and employee performance
      • Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
      • 4 weeks paid Parental Leave
      • Employee assistance program (EAP)

      EHS/Environmental Requirements:

      This job operates alongside a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.

      Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human Resources.

      ITC & Security Clearance Requirements:

      This position requires the incumbent to access export-controlled information. If you are not a U.S. Person, any offer is contingent upon the Company's ability to obtain a special license granting you access. This could take several months. You will not be able to begin employment until such license is obtained.

      Visa Restrictions:

      No visa sponsorship is available for this position.

      Pre-employment Screenings:

      Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.