Systems Triage Engineer

Actalent; Deutschland; Vor Ort; EUR 60.000 - 77.000; Vollzeit

Benefits dieser Stelle

Medical, dental & vision

Critical Illness, Accident, and Health

401(k) Retirement Plan

Life Insurance

Short and long-term disability

Health Spending Account (HSA)

Transportation benefits

Employee Assistance Program

PTO/Vacation or Sick Leave

Zusammenfassung

Actalent is seeking a Systems Triage Engineer to evaluate performance data and test results from on-road, simulation, and safety-critical autonomous driving systems. You will drive root-cause analysis, contribute to AI model training discussions, and ensure high software quality across trucks and related platforms.

The role involves collaboration with Safety, System V&V, ML, and automation teams, leveraging triage tooling, and supporting rapid software releases.

Qualifikationen

• Bachelor's degree in a technical field.
• 3–5+ years leading test programs with system triage and impact analysis.
• Experience with embedded systems and ADAS/sensors.
• Hands-on with development tools: build systems, containers, source control.
• Experience with real-time or safety-critical software.

Aufgaben

• Triage, track, and report metrics for anomalies and test escapes across embedded and autonomous driving systems.
• Analyze sensor data using 3D visualization to uncover root causes of issues.
• Report on software quality using defect ratios and heatmaps.

Kenntnisse

Embedded systems

System triage experience

Defect tracking

Root cause analysis

Problem solving

Ability to learn quickly

Collaboration

ADAS technologies

Ausbildung

Bachelor's degree in computer science / computer engineering / systems engineering or related field

Tools

Jira

Build systems

Containers

Source control

Jobbeschreibung

Job Title: Systems Triage Engineer

Job Description

The Systems Triage Engineer evaluates performance data and test results from on-road and simulation testing to identify issues, uncover root causes, and provide actionable feedback to development teams. This role blends traditional embedded systems triage with advanced analysis of simulation data and counterfactual scenarios, focusing on large-scale, safety-critical autonomous driving systems. You will play a key role in improving software quality, supporting AI model training, and enhancing the overall safety and reliability of autonomous trucks and related platforms.

Responsibilities

• Perform triage, tracking, and metric reporting for system anomalies and test escapes across embedded and autonomous driving systems.
• Leverage 3D visualization tools to analyze sensor data, including lidar and other ADAS-related inputs, to uncover complex software and hardware issues and identify root causes.
• Report on software quality using concepts such as defect ratios and software heatmaps to provide clear visibility into system performance and maturity.
• Analyze autonomous vehicle behavior from public road and closed-course testing, including events such as misrouted software, missing lane lines, and obstacles in front of the vehicle.
• Use simulation tools to identify new edge-case scenarios and export them into datasets to help expand and improve reinforcement learning and training models.
• Perform counterfactual simulations of selected events and share critical analysis with Safety, System V&V, and Machine Learning teams to mitigate unsafe system behaviors.
• Collaborate on tooling requirements for efficient triage, root cause analysis, metric reporting, and data visualization to rapidly extract insights about software maturity.
• Maintain and optimize the defect management process and workflows, ensuring high-quality bug ticketing that accurately reflects defect states and priorities.
• Track and follow up on high-priority and blocking defects, ensuring continued progress and clear communication with stakeholders.
• Support a rapid integration and deployment schedule to enable consistent software stack releases to extended testing teams.
• Work closely within the triage team and collaborate cross-functionally with development, safety, V&V, ML, and automation teams to provide a swift feedback loop.
• Support first-level triage by determining what happened during events, classifying issues, and identifying whether they are software, sensor, or system-related.
• Conduct second-level, deeper investigations into issues to determine root causes, validate fixes, and support ongoing testing activities.
• Support startup and deployment of software at the start of test days when needed, helping ensure trucks and systems are ready for scheduled operations.
• Provide triage support aligned with vehicle schedules, including daytime, late-night, weekend, and overnight operations, to ensure continuous flow of information from trucks to triage and development teams.

Essential Skills

• Bachelor’s degree in computer science, computer engineering, systems engineering, or a related technical field.
• 3–5+ years of industry experience leading test programs with a focus on system triage, defect tracking, and impact analysis.
• Experience with complex embedded systems, including ADAS technologies such as autonomous driving software architectures, sensors, networking, compute hardware, and control systems.
• Hands‑on experience with software development tools such as build systems, containers, and source control.
• Experience working with software for real‑time or safety‑critical systems.
• Experience with machine‑learned software components and AI‑driven features.
• Strong problem‑solving and analytical skills, with meticulous attention to detail.
• Ability to learn quickly and operate effectively in unstructured and evolving technical environments.
• Ability to work in a fast‑paced setting with rapidly changing software and hardware infrastructure.
• Experience with ADAS, sensors, embedded software, and autonomous or automotive systems.
• Experience using issue tracking tools such as Jira for defect and workflow management.
• Ability to interpret and analyze ROS logs or similar robotics system logs.
• Experience with first‑level triage of software issues, including classification and initial assessment.
• Experience performing deeper root cause analysis on complex system issues, particularly in autonomous, automotive, or heavy truck environments.

Additional Skills & Qualifications

• Experience testing autonomous vehicles, ROS‑based robotics systems, or ADAS features.
• Familiarity with configuration management of safety‑critical systems and systems engineering principles.
• Understanding of verification and validation methodologies for complex, safety‑critical systems.
• Experience designing and commissioning custom hardware‑in‑the‑loop (HIL) test fixtures.
• Experience in public road forensic analysis of robotic disengagements or similar safety‑critical incident analysis.
• Experience working with large‑scale, safety‑critical systems and software development processes in complex environments.
• Comfort collaborating across Safety, System V&V, Machine Learning, and core development teams.
• Interest in and enthusiasm for working with cutting‑edge AI technologies and training AI models for autonomous driving.

Work Environment

This role supports autonomous truck and advanced ADAS testing in a dynamic, fast‑paced environment. You will work closely with on‑road testing operations, simulation teams, and core engineering groups, frequently interacting with data from heavy trucks operating on public roads and closed‑course environments. The position requires working on‑site at the Fort Worth office at least a couple of days per week, or as needed, to be available for real‑time issues encountered by drivers and the automation team on the trucks. The schedule aligns with truck operations and includes shift work to cover different times of day and week, including daytime, late‑night, weekend, and overnight operations. Typical shift coverage includes a second shift (approximately 1:00 p.m. to 9:00 p.m.) and a night shift (approximately 12:00 a.m. to 8:00 a.m.), with flexibility required to support changing test schedules. You will work with modern software development tools, 3D visualization platforms, simulation environments, and sensor data systems, contributing to a collaborative, technology‑driven culture focused on innovation in autonomous driving and AI model training.

Job Type & Location

This is a Contract to Hire position based out of Fort Worth, TX.

Pay and Benefits

The pay range for this position is $50.00 - $65.00/hr.

Eligibility requirements apply to some benefits and may depend on your jobclassification and length of employment. Benefits are subject to change and may besubject to specific elections, plan, or program terms. If eligible, the benefitsavailable for this temporary role may include the following:

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre‑tax and Roth post‑tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long‑term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a hybrid position in Fort Worth, TX.

Application Deadline

This position is anticipated to close on Aug 26, 2026.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service.

The company is an equal opportunity employer and will consider all applications withoutregard to race, sex, age, color, religion, national origin, veteran status, disability,sexual orientation, gender identity, genetic information or any characteristic protectedby law.

If you would like to request a reasonable accommodation, such as the modification oradjustment of the job application process or interviewing process due to a disability,please email [e-mail] for other accommodation options.

San Francisco Fair Chance Ordinance:

Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in thecity and county of San Francisco, we will consider for employment qualified applicantswith arrest and conviction records.

Massachusetts Lie Detector:

It is unlawful in Massachusetts to require or administer a lie detector test as acondition of employment or continued employment. An employer who violates this lawshall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI):

We may use Artificial Intelligence (AI) to support parts of our hiring process,including sourcing, screening, and evaluating candidates. AI helps assess applicationsand qualifications, but final decisions are made by our hiring team. By applying, youacknowledge and agree that your application may be reviewed using AI tools.