Senior Software Engineer, Embedded Platform Middleware — Automotive and Robotics

NVIDIA

has

been

transforming

computer

graphics,

PC

gaming,

and

accelerated

computing

for

more

than

25

years.

Today,

we're

tapping

into

the

unlimited

potential

of

AI

to

define

the

next

era

of

computing

—

where

our

GPUs

act

as

the

brains

of

computers,

robots,

and

self-driving

cars

that

understand

the

world.

Doing

what's

never

been

done

before

takes

vision,

innovation,

and

the

world's

best

talent.

As

an

NVIDIAN,

you'll

be

immersed

in

a

diverse,

supportive

environment

where

everyone

is

inspired

to

do

their

best

work.

Join

NVIDIA's

Embedded

Platform

Middleware

team [NvSci Team]

—

the

group

building

the

foundational

system

software

that

enables

safe,

high-performance

data

sharing

and

synchronization

across

GPUs,

CPUs,

and

specialized

accelerators

on

NVIDIA

DRIVE

(autonomous

vehicles)

and

Jetson

(robotics

&

edge

AI)

platforms.

Our

middleware

is

the

connective

tissue

that

lets

millions

of

safety-certified

devices

move

data

at

silicon

speed

—

deterministically,

securely,

and

at

 scale. We

work

at

the

intersection

of

low-level

systems

software,

safety-critical

engineering,

and

 ground breaking

accelerator

hardware.

If

you

love

shipping

code

that

runs

in

real

cars

and

real

robots,

this

is

your

team.

What

You'll

Be

Doing:

• Design

  and

  evolve

  middleware

  APIs

  for

  buffer

  sharing,

  cross-engine

  synchronization,

  streaming,

  and

  inter-process

  communication

  —

  with

  a

  relentless

  focus

  on

  developer

  experience,

  simplicity,

  and

  long-term

  maintainability.

• Lead

  end-to-end

  feature

  development

  that

  meets

  stringent

  automotive

  safety

  and

  security

  standards

  (

  ISO

  26262,

  ASPICE,

  ISO

  21434

  ),

  aligned

  with

  product

  roadmaps

  and

  release

  cycles.

• Optimize

  performance

  in

  resource-constrained

  embedded

  environments;

  partner

  closely

  with

  hardware

  and

  firmware

  engineers

  to

  co-design

  solutions

  that

  unlock

  the

  full

  potential

  of

  NVIDIA

  accelerators.

• Drive

  technical

  direction

  across

  teams

  —

  collaborate

  with

  CUDA,

  graphics,

  camera,

  and

  AV

  framework

  engineers

  to

  simplify

  system

  architecture

  and

  elevate

  the

  platform.

• Modernize

  how

  we

  build

  software

  —

  introduce

  automation,

  static

  analysis,

  fuzzing,

  and

  generative-AI

  tooling

  to

   improve

  on

  reliability,

  velocity,

  and

  scalability.

• Mentor

  and

  influence

  —

  help

  grow

  the

  technical

  depth

  of

  the

  team

  and

  represent

  the

  platform

  in

  cross-org

  design

  discussions.

What

We

Need

to

See:

• BS

  or

  MS

  in

  CS,

  CE,

  EE,

  or

  related

  field

  —

  or

  equivalent

  experience.

• 8+

  years

  of

  relevant

  software

  development

  experience.

• Strong

  proficiency

  in

  C

  and

  modern

  C++

  .

• Deep

  experience

  with

  embedded

  systems

  and

  system

  architecture

  —

  multi-threaded

  software

  spanning

  CPUs,

  accelerators,

  and

  heterogeneous

  chips.

• Strong

  understanding

  of

  operating

  systems

  internals:

  memory

  management,

  synchronization

  primitives,

  IPC,

  and

  drivers.

• Hands-on

  experience

  with

  the

  Linux

  kernel

  (drivers,

  subsystems,

  or

  kernel-space

  development).

• Experience

  delivering

  safety-critical

  software

  —

  ISO

  26262,

  DO-178C,

  IEC

  61508,

  or

  equivalent

  certified-software

  development

  processes.

• Proven

  track

  record

  of

  driving

  solutions

  from

  concept

  to

  production

  in

  cross-functional,

  distributed

  teams.

Ways

to

Stand

Out from the crowd:

• Experience

  with

  automotive

  cybersecurity

  (ISO

  21434)

  or

  ASPICE

  processes.

• Familiarity

  with

  QNX,

  Integrity,

  or

  other

  RTOSes

  .

• Background

  in

  GPU

  programming,

  CUDA,

  Vulkan,

  or

  graphics/compute

  driver

  stacks

  .

• Contributions

  to

  middleware,

  HAL

  layers,

  or

  system

  libraries

  at

  production

  scale.

• Experience

  with

  MISRA

  C/C++,

  Coverity,

  fuzzing,

  or

  formal

  verification

  .

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 6, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.