Jobs Private USA → Technology → Software engineering → Software Engineer, AV Logging and Observability

Software Engineer, AV Logging and Observability

General Motors · Sunnyvale, CA · posted 31 days ago

In short: Software Engineer, AV Logging and Observability at General Motors in Sunnyvale, CA, posted 31 days ago.

By AtiveSite · Published 07/11/2026 · Updated 08/11/2026 · Every figure is linked to its source below.

General Motorsemployer

Sunnyvale, CAlocation

Software engineeringsub-niche

31 days agoposted

🆕 Work guides: live jobs + official data, law, permits, pay and cost of living. United States · California · Santa Clara County · Sunnyvale · all 145 cities + map → · all 58 counties → · California rankings · Silicon Valley special · San Francisco special · Los Angeles special · all 51 states → · 200 largest companies · 240 best job niches · Federal jobs in California

The job

LIVE Live feed (private-sector employer) Source: The Muse public API · Data: listed 2026-10-08

Employer	General Motors
Location	Sunnyvale, California
Field	Technology › Software engineering
Level	Mid Level
Source category	Software Engineering
Posted	2026-10-08 (31 days ago)
Work arrangement	A remote or flexible location is listed
Pay	Not published in the source listing

Job description

Description

The AV Runtime team within GM's Autonomous Vehicle Platform Core organization builds software and data systems that turn real-world driving into high-quality training and evaluation data for autonomous driving.

Our systems collect sensor, vehicle, and scenario data used by teams developing perception, prediction, planning, and other autonomous-driving capabilities. We focus on capturing the right data from the fleet, preserving privacy, maintaining data quality, and reliably moving vehicle data into the AI development pipeline.

We build the software that helps autonomous vehicles learn from the real world.

About the Role

You will own projects and technical workstreams that improve the reliability, observability, and operability of fleet-scale vehicle data recording and delivery. You will build Python software across cloud, backend, and data platforms so high-value vehicle and sensor data is captured, transferred, processed, and made usable for autonomous vehicle development.

You will refine requirements, define architecture and execution plans, lead design reviews and reliability investigations, resolve non-routine integration issues, and deliver production-ready solutions that improve service health, data quality, reliability, performance, privacy, and operational readiness. You will connect vehicle symptoms to cloud behavior, identify systemic failure patterns, drive cross-team corrective actions, and apply AI and LLMs to triage, telemetry analysis, issue classification, root-cause investigation, and engineering automation.

You will work across Python services, telemetry pipelines, cloud infrastructure, backend services, data storage, monitoring, metrics, and reliability workflows. You will collaborate across partner organizations-including cloud platform, backend, systems engineering, fleet operations, data engineering, and downstream consumers-to deliver reliable, diagnosable, and scalable fleet data capabilities.

What You'll Do

Own project-level initiatives that improve the reliability of vehicle-to-cloud data recording and telemetry workflows.
Develop Python software for telemetry processing, data validation, metrics, reliability automation, and operational tooling.
Build components that capture, filter, validate, package, store, and deliver vehicle and sensor data.
Define data-quality checks, metric semantics, dashboards, service-level indicators, and operational health measures.
Debug complex issues across data pipelines, cloud ingestion, storage, distributed processing, monitoring systems, and backend integrations.
Apply AI and large language models (LLMs) to accelerate issue discovery, failure classification, root-cause analysis, knowledge retrieval, and workflow automation.
Collaborate across cloud, backend, data engineering, fleet operations, and downstream teams to align interfaces, metrics, ownership, and operating expectations.
Improve performance, scalability, observability, privacy, availability, and cloud cost across data workflows.
Deliver reliable software through clear requirements, design reviews, code reviews, automated testing, CI, staged rollout, monitoring, and incident response.
Mentor engineers and contribute to reusable patterns, documentation, tooling, and continuous engineering improvement.

Basic Qualifications

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience.
Experience delivering production-quality Python software, data workflows, or reliability projects with limited guidance.
Experience with embedded SW, Robotics, Automotive, or a similar tech stack.
Strong fundamentals in data structures, algorithms, operating systems, distributed systems, networking, and software design.
Strong Python coding ability, including writing maintainable, testable, observable, and performance-conscious software.
Experience with telemetry processing, data pipelines, cloud services, backend integrations, monitoring, or reliability automation.
Ability to debug complex software, cloud, distributed-system, and data-integration issues and drive root-cause resolution.
Experience owning technical requirements, plans, milestones, risks, and delivery for a project, feature area, or workstream.
Ability to communicate technical tradeoffs clearly and collaborate effectively across engineering teams and organizations.

Preferred Qualifications

Experience building Python services, cloud applications, data-processing workflows, or reliability automation.
Experience designing or operating cloud distributed architectures using Kubernetes, Google Cloud services, BigQuery, cloud storage, backend services, or distributed data-processing systems.
Exposure to C++ systems programming, IPC, messaging, networking, serialization, or data pipelines.
Experience with cloud platforms, Kubernetes, container orchestration, cloud storage, backend services, or distributed data processing.
Experience with telemetry, logging, observability, data quality, metrics, dashboards, or fleet-data recording systems.
Experience with APIs, messaging, networking, serialization, storage, SQL, data contracts, or event-driven workflows.
Experience applying AI or LLMs, data analysis, incident triage, workflow automation, or engineering productivity.
Experience with fleet deployment, release monitoring, incident response, root-cause analysis, service-level indicators, or operational readiness.
Experience mentoring engineers, leading design reviews, or driving cross-team and cross-organization technical initiatives.
Prior experience in autonomous driving, distributed systems, data infrastructure, AI/ML infrastructure, platform software, or production operations.

Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

The salary range for this role is 128,000 to 189,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

If selected out of Washington, in the future you will need to go to office in Seattle, WA.

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

Relocation benefits are available for candidates who qualify under company policy.

The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee)

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Total Rewards | Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Explore around this job

Field: Technology Sub-niche: Software engineering All jobs at General Motors Jobs in California Jobs in Sunnyvale, CA Sunnyvale city guide California state guide Santa Clara County economy

View this job and apply on The Muse →

You apply on The Muse or on the employer's page; AtiveSite does not receive or process applications and is not affiliated with The Muse. The description above is shown as the source published it.

About the role

This is a Mid Level role in the Technology field (Software engineering) at General Motors. Mid-level roles usually expect some years of relevant experience and the ability to work with limited supervision.

We could not match this job title to one occupation in the official wage statistics, so no pay estimate is shown. Pay is not in the source listing; ask the employer for the range and compare in the 240 job niches.

Does the pay work here? (estimate)

Gross salary a year Filing State income tax rate %

Estimate for a wage earner: 2026 federal brackets and standard deduction (IRS), Social Security 6.2% up to $184,500, Medicare 1.45% (+0.9% above $200,000 single / $250,000 married), and a state rate you set; set your own state tax rate. It ignores credits, pre-tax deductions, local taxes and benefits. Sources: IRS: tax year 2026 inflation adjustments · SSA wage base per Federal Register notice 2025-19763.

How to prepare and behave

This is editorial guidance, not information from the employer.

Read the whole description and match your examples to its requirements; use the same words the posting uses where they are true for you.
Research the employer before the interview: what it does, who its customers are and recent news; prepare two or three questions about the work.
Arrive early (or log in early for a video call), dress one step above the daily dress code, and test your camera and audio beforehand.
Answer with short stories: the situation, what you did and the result. Give numbers when you have them and never invent them.
Be honest about gaps; say what you did to learn and how fast you can close them.
Ask about the team, the first 90 days, how success is measured and the schedule; do not open with salary and time off.
When pay comes up, know the market range for the occupation and your lowest acceptable offer before you answer; ask for the full package in writing.
Send a short thank-you message within a day, mentioning one thing you discussed.
The listing mentions a remote or flexible location. Confirm with the employer whether remote work applies to your state: taxes, licensing and benefits can depend on where you live.
Have code, data work or projects you can show, and be ready to think aloud: many technical interviews test how you reason, not only the answer.

Know your rights as a candidate and an employee:

The city

The job is in Sunnyvale, CA. Below is what the official statistics say about living and working there.

How Sunnyvale compares. Among the 145 largest places in California, Sunnyvale is #37 by population, #12 for long commutes (#1 = fewest), #15 for household income (#1 = highest), #129 for rent (#1 = cheapest). Its county, Santa Clara County, is #1 of 58 counties for average pay ($197,043).

The place in numbers

Sunnyvale has 154,236 residents (ACS 2020–2024), about 0.4% of the population of California. It covers 22 square miles of land, which works out to roughly 6,992 people per square mile. The median age is 35.2, 7% younger than the state median (35.2 against 37.9).

Housing

The median gross rent is $3,039 a month (rent plus utilities), 49% above the state median ($3,039 against $2,036). Over a year that is 19.6% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $1,801,800, which is 9.7 times the median household income ($186,170); a ratio above 5 usually means buying is out of reach without savings or a second income. 43.8% of households own their home, 22% below the state average (43.8% against 55.9%). A low ownership share points to a rental-heavy market with more apartments and shorter stays.

Work and pay

The San Jose-Sunnyvale-Santa Clara, CA metropolitan area has 1,134,970 jobs in the BLS wage survey, and the median pay across all occupations is $84,050 a year, 65% above the national median ($84,050 against $50,980). The biggest occupation groups are computer and mathematical (149,970 jobs, median $186,320); management (115,110 jobs, median $210,750); business and financial operations (94,210 jobs, median $125,240). The area is most specialised in computer and mathematical (3.9 times) and architecture and engineering (2.5 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($210,750) and legal ($195,190). In 2026M09 the unemployment rate of Santa Clara County was 4.2%. 72.4% of residents aged 16 and over are in the labour force. The city lies in Santa Clara County; its jobs, pay by industry and GDP are on the county page.

Getting around

Among workers, 53.7% drive alone, 4.0% use public transit, 1.6% walk, 29.2% work from home. 9.0% of workers commute 45 minutes or more, 54% below the state average (9.0% against 19.4%). Remote work is more common than in the state as a whole, which widens the set of employers a resident can work for without moving.

People and education

69.3% of adults aged 25 and over hold a bachelor's degree or higher, 87% above the state share (69.3% against 37.1%). 50.2% of residents were born outside the United States, 86% above the state share (50.2% against 27.0%). The poverty rate is 5.8%, 52% below the state rate (5.8% against 12.0%).

Climate

The warmest month is Aug, averaging 68°F (19.8°C), and the coolest is Jan at 47°F (8.3°C). About 510 mm (20 inches) of precipitation falls in a year; Dec is the wettest month (114 mm) and Jul the driest (0 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.

Nearby cities to compare

Closest cities in this guide: Mountain View (3 miles, similar rent); Santa Clara (4 miles, similar rent); Los Altos (4 miles, rent 15% higher); Cupertino (5 miles, rent 15% higher). Rent differences are against Sunnyvale; use the Compare tab to put any two cities side by side.

Full guide to Sunnyvale →California guide All jobs in Sunnyvale

Official links for Sunnyvale

These links go to official sources and open in a new window. The first one is the government's or company's own site as listed in Wikidata (property "official website"); check it before relying on it.

Where to live

CITY Official statistics Source: U.S. Census Bureau, American Community Survey 2020–2024 5-year (via Census Reporter) · Data: ACS 2020–2024

Places within 50 miles (straight line) of Sunnyvale, CA that have a guide, with what living there costs. No pay estimate is shown because the title did not match one occupation.

Sort:

Place ⇅	Distance from the job city ⇅	Median rent ⇅	Median home value ⇅	Median household income ⇅	Commute 45+ min ⇅	Rent as % of occupation pay ⇅	Open jobs there ⇅
Sunnyvale, CA	0 mi	$3,039	$1,801,800	$186,170	9.0%	n/a	Jobs
Mountain View, CA	3 mi	$3,062	$1,927,000	$189,917	9.3%	n/a	Jobs
Santa Clara, CA	4 mi	$3,016	$1,582,600	$178,958	8.9%	n/a	—
Los Altos, CA	4 mi	$3,501	$2,000,001	$250,001	8.3%	n/a	—
Cupertino, CA	5 mi	$3,501	$2,000,001	$234,707	9.1%	n/a	Jobs
Los Altos Hills, CA	6 mi	$3,501	$2,000,001	$250,001	18.0%	n/a	—
Palo Alto, CA	6 mi	$3,484	$2,000,001	$231,101	8.2%	n/a	Jobs
Saratoga, CA	8 mi	$3,501	$2,000,001	$250,001	8.3%	n/a	—
Milpitas, CA	8 mi	$3,120	$1,251,700	$178,798	15.2%	n/a	Jobs
East Palo Alto, CA	8 mi	$2,244	$1,102,600	$113,493	9.7%	n/a	—
Newark, CA	8 mi	$2,776	$1,142,800	$169,064	22.2%	n/a	—
Campbell, CA	8 mi	$2,737	$1,617,000	$145,268	10.4%	n/a	Jobs
Fremont, CA	9 mi	$2,933	$1,403,800	$181,506	23.6%	n/a	Jobs
Menlo Park, CA	9 mi	$3,239	$2,000,001	$210,025	11.5%	n/a	Jobs
Atherton, CA	11 mi	$3,501	$2,000,001	$250,001	7.0%	n/a	—
Los Gatos, CA	11 mi	$3,247	$2,000,001	$217,554	17.6%	n/a	—
San Jose, CA	13 mi	$2,669	$1,233,200	$146,427	15.3%	n/a	Jobs
Redwood City, CA	14 mi	$2,968	$1,801,700	$157,814	10.2%	n/a	Jobs
Union City, CA	15 mi	$2,713	$1,104,900	$133,715	24.0%	n/a	—
San Carlos, CA	15 mi	$2,854	$2,000,001	$237,470	14.9%	n/a	—

Career paths

We could not match this title to one occupation, so here are the other sub-niches in Technology, where your skills may carry over:

Cybersecurity (366) Data, analytics and AI (1991) Cloud, IT and infrastructure (504) Product management (412)

Distances

CITY Calculation (straight line) Source: U.S. Census Bureau Gazetteer (coordinates) · Data: 2024

How far Sunnyvale, CA is from the 20 largest US cities, in straight-line miles (not driving distance). Click a column to sort.

Sort:

From ⇅	Straight-line distance (miles) ⇅	Population of that city ⇅
San Jose, CA	13 mi	990,138
San Francisco, CA	60 mi	830,235
Los Angeles, CA	309 mi	3,857,263
San Diego, CA	420 mi	1,389,526
Phoenix, AZ	618 mi	1,642,323
Seattle, WA	707 mi	754,195
Denver, CO	939 mi	718,877
Oklahoma City, OK	1,365 mi	697,125
Fort Worth, TX	1,427 mi	963,194
San Antonio, TX	1,457 mi	1,479,835
Dallas, TX	1,458 mi	1,307,930
Austin, TX	1,471 mi	979,539
Houston, TX	1,614 mi	2,328,253
Chicago, IL	1,841 mi	2,711,226
Indianapolis, IN	1,932 mi	885,860
Columbus, OH	2,097 mi	914,802
Charlotte, NC	2,281 mi	903,844
Jacksonville, FL	2,348 mi	977,670
Philadelphia, PA	2,506 mi	1,579,706
New York, NY	2,559 mi	8,483,844

Nearby cities with open jobs (within 120 miles)

Sort:

City ⇅	Straight-line distance ⇅	Open jobs ⇅
Palo Alto, CA	6 mi	24
Milpitas, CA	8 mi	2
Campbell, CA	8 mi	7
Fremont, CA	9 mi	2
San Jose, CA	13 mi	661
Redwood City, CA	14 mi	27
Belmont, CA	17 mi	2
Pleasanton, CA	21 mi	1
Alameda, CA	28 mi	15
Capitola, CA	29 mi	1
San Francisco, CA	60 mi	587
Sacramento, CA	87 mi	38

The employer

General Motors is the employer in this listing. See all its open jobs here →

Company description (from The Muse): At GM, we pioneer the innovations that move and connect people to what matters. Our vision is a world with zero crashes, zero emissions and zero congestion. Our diverse team of over 165,000 employees brings their collective passion for engineering, technology and design to deliver on this ambitious future. And the bold commitments we’ve made are moving us closer to realizing this vision. We firmly believe that each of us has the power to drive meaningful change through our words, actions, and culture. At General Motors, we foster a culture where all ideas are taken into consideration, and where everyone can contribute to their fullest potential. Our foundation is built on respect, integrity, accountability, and equality.

size: Large Size; industries: Consumer Goods & Services, Engineering, Manufacturing, Technology; locations on The Muse: Detroit, MI.

It is among the 200 largest US-headquartered employers in our list, with about 156,000 employees worldwide (2025). Company page with headquarters, state economy and official links →

Official links for General Motors

The employer's profile on The Muse →

What it is like to work at a company (culture, schedules, benefits) is not in the source data, so we do not describe it. Read the description and ask the questions under "How to prepare".

Other open jobs at General Motors

Senior AI Data Engineer - GPSC Insights Engineering

General Motors · Austin, TX · Senior Level · Data, analytics and AI · posted yesterday

Senior Data Engineer

General Motors · Austin, TX · Senior Level · Data, analytics and AI · posted yesterday

Senior Data Engineer

General Motors · Austin, TX · Senior Level · Data, analytics and AI · posted yesterday

Senior HR Technology Analyst - Hourly Compensation

General Motors · Austin, TX · Senior Level · Recruiting and human resources · posted yesterday

Senior Feature Engineer

General Motors · Austin, TX · Senior Level · Manufacturing and hardware engineering · posted yesterday

Sr. Teamcenter PLM Solutions Engineer

General Motors · Austin, TX · Senior Level · Manufacturing and hardware engineering · posted yesterday

Manager, Corporate Strategy

General Motors · Detroit, MI · Senior Level · Business operations and strategy · posted yesterday

Consultant, Global Mobility

General Motors · Remote / flexible (United States) · Senior Level · Business operations and strategy · posted 2 days ago

Similar jobs

Same sub-niche: Software engineering

Software Engineer II - Engineer

Uber · San Francisco, CA · Mid Level · Software engineering · posted yesterday

Software Engineer II, iOS- Maps Mobile Platform

Uber · San Francisco, CA · Mid Level · Software engineering · posted yesterday

Sr Software Engineer - Mobile and Edge Networking

Uber · San Francisco, CA · Senior Level · Software engineering · posted yesterday

Staff Software Engineer Michelangelo Control Plane

Uber · San Francisco, CA · Senior Level · Software engineering · posted yesterday

Staff Software Engineer - Streaming Data Platform

Uber · San Francisco, CA · Senior Level · Software engineering · posted yesterday

Software Engineer - Intern (TikTok BRIC) - 2027 Start (PhD)

TikTok · San Jose, CA · Internship · Software engineering · posted yesterday

DevOps Engineer - Member of Technical Staff (MTS)

Salesforce · San Francisco, CA · Mid Level · Software engineering · posted yesterday

Lead Software Engineer - ServiceNow

JPMorgan Chase · San Francisco, CA · Senior Level · Software engineering · posted yesterday

More jobs in Sunnyvale, CA

Staff ML Systems Engineer

General Motors · Sunnyvale, CA · Senior Level · Data, analytics and AI · posted 2 days ago

Senior AI/ML Capacity Performance Engineer

General Motors · Sunnyvale, CA · Senior Level · Data, analytics and AI · posted 2 days ago

Engineering Manager - Autonomy Subsystem Evaluation

General Motors · Sunnyvale, CA · Senior Level · Software engineering · posted 3 days ago

Technical Product Operations Manager

General Motors · Sunnyvale, CA · Senior Level · Business operations and strategy · posted 9 days ago

Senior Software Engineer

General Motors · Sunnyvale, CA · Senior Level · Software engineering · posted 18 days ago

Staff AI/ML Capacity Engineer

General Motors · Sunnyvale, CA · Senior Level · Data, analytics and AI · posted 21 days ago

All Software engineering jobs → · All Technology sub-niches →

FAQ

What is the Software Engineer, AV Logging and Observability job at General Motors?

A mid level role in technology (software engineering) listed 31 days ago. The full description is on this page and on The Muse.

Where is this job?

Sunnyvale, CA. A remote or flexible location is listed; confirm with the employer which states are accepted.

How do I apply?

Use the "View this job and apply on The Muse" button. AtiveSite does not receive applications.

How much does it pay?

The listing does not publish pay, and we could not match the title to one official occupation.

What is the cost of living there?

Median rent in Sunnyvale is $3,039 a month and median household income $186,170 (ACS 2020–2024).

How old is this listing?

It was posted on 2026-10-08 (31 days ago). Jobs older than 90 days are not shown.

Are there similar jobs?

Yes: browse software engineering jobs in California.

Sources and terms

Job data: The Muse public API (listing dated 2026-10-08). The job disappears from this site when it disappears from the source.
Wages and projections: BLS OEWS (May 2025) and Employment Projections 2025–35.
City and county figures: Census Bureau ACS 2020–2024, BEA, BLS QCEW and LAUS, NASA POWER climatology; distances from Census Gazetteer coordinates.

AtiveSite is not affiliated with or endorsed by The Muse, the employer or any government agency, and does not process applications. Verify every detail with the employer before acting.

Sources

Jobs in other countries

🇺🇸 United States 🇩🇪 Germany 🇸🇪 Sweden 🇸🇬 Singapore