Systems Software Engineer, Autonomous Systems Mapping - New College Graduate 2026
NVIDIA Corporation · Santa Clara, CA
$124,000–$241,500from the description
Jul 9, 2026
Santa Clara, CA
Jul 20, 2026
What this job asks for AI summary
A software engineering role on NVIDIA's mapping team, focused on building and improving pipelines for HD and navigational map creation. Day-to-day work spans researching trajectory data mining and road network analysis algorithms, developing proof-of-concept tools, and analyzing sensor data (GPS/IMU, lidar, camera, radar) for integrity and benchmarking. Suits engineers with strong algorithms and data structures backgrounds, ideally with exposure to autonomous vehicles or robotics.
Mid level · Santa Clara, CA · Master's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 3 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 2,200 people in the Santa Clara, CA area plausibly meet what this posting asks for (software developers). range 1,650–2,850
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $217,796 (middle half $177,469–$231,052). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The posting covers two salary bands: $124,000–$195,500 (Level 2) and $152,000–$241,500 (Level 3). The comp range reported spans both levels; the specific level offered will depend on candidate experience.
Degree requirement is MS or PhD in CS/Engineering or EE, with 'or equivalent experience' as an alternative — however, the phrasing is firm enough ('MS/PhD … or equivalent experience') that it reads as a hard gate on graduate-level knowledge. Degree is set to Masters as the minimum formal degree named.
The role title is unlevel ('Software Engineer'), but NVIDIA internally maps it to Level 2 or Level 3, which correspond roughly to Mid and Senior IC bands. Seniority is assessed as Mid (the lower of the two levels) given no overall years-of-experience floor is stated.
C and C++ are listed together ('C/C++') as a single proficiency requirement; C++ is the primary name with C as an alternative.
Python is listed as 'familiar with' under the required section — a softer qualifier, but it appears within the 'What we need to see' (requirements) block, so it is treated as a hard gate.
'Algorithms' (graph theory, combinatorial & discrete algorithms) and data structures are required but name no specific tool or framework; they are captured as a single 'algorithms' skill representing the stated algorithmic knowledge gate.
Computer vision, computational geometry, robotics/ML algorithms, Linux kernel internals, and autonomous vehicle sensors (camera, lidar, radar, GPS) all appear under 'Ways to stand out from the crowd' — the preferred/nice-to-have section.
Location is not explicitly stated in the posting; NVIDIA's DeepMap team is headquartered in the Santa Clara/San Jose metro (CBSA 41940). The comp range references location-based determination, consistent with a US on-site role.
Read the full posting
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