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Remote Manager Linux Kernel Engineer Ubuntu Jobs in Winchester, MA

Motorola

Senior DevOps Engineer (US REMOTE)

Waltham, MA · Remote

$140K - $170K/yr

Build and manage containerized applications * Provision and support configuration of relational ... Experience with Linux including scripting (Bash) Preferred Skills: * Experience with AI/machine ...

Kobie Marketing

AI Engineer

Boston, MA · Remote

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... or Semantic Kernel * Experience with LLM observability tools: Amazon CloudWatch, LangSmith ...

Databento

Software Engineer (C++/Rust)

Boston, MA · On-site +1

... architecture, kernel, and compilers. * Experience working with multiprocess environments ... Good communication skills and work ethic for a remote workplace. * An interest in low-level ...

Brooks Automation, Inc.

Software Engineer

Chelmsford, MA · On-site +1

$105K - $142K/yr

Collaborate with cross-functional engineering team, product management, and customer to define new ... Work arrangements may include a mix of in-office and remote work, depending on the nature of the ...

Tufin

Pre-Sales Engineer, US

Boston, MA · On-site +1

Our customers turn to Tufin to simplify management of some of the largest, most complex networks in ... Conduct remote calls to discuss prospective business and technical fit with Tufin Solution.

Revolution Space

Senior Software Systems Engineer

Boston, MA · On-site +1

$156K - $244K/yr

... remote. Responsibilities: * Establish and maintain software development, testing, and delivery ... Maintaining existing systems, managing upgrades, and providing technical support or troubleshooting ...

System One

ELECTRICAL ENGINEER IV

Tewksbury, MA · Remote

$97.33 - $115/hr

Hybrid or Remote Hours: 40.0 Responsibilities * Assist with new design and development for various ... ISE14.4, Linux, Ethernet, I2C, SPI. * Bachelor's degree in Electrical Engineering, Computer ...

System One

ELECTRICAL ENGINEER IV

Tewksbury, MA · Remote

$97.33 - $115/hr

Hybrid or Remote Hours: 40.0 Responsibilities * Assist with new design and development for various ... ISE14.4, Linux, Ethernet, I2C, SPI. * Bachelor's degree in Electrical Engineering, Computer ...

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Remote Manager Linux Kernel Engineer Ubuntu information

See Winchester, MA salary details

$11.7K

$121.4K

$137.3K

How much do remote manager linux kernel engineer ubuntu jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote manager linux kernel engineer ubuntu in Winchester, MA is $121,375.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,200.00 and $132,500.00 per year, depending on experience, location, and employer.

What cities near Winchester, MA are hiring for Remote Manager Linux Kernel Engineer Ubuntu jobs?

Cities near Winchester, MA with the most Remote Manager Linux Kernel Engineer Ubuntu job openings:

Remote Manager Linux Kernel Engineer Ubuntu jobs near you

Research Engineer, Frontier Capabilities

Lila Sciences

Cambridge, MA • On-site, Remote

Full-time

Re-posted 12 days ago

Job description

Your Impact at LILA

The AI Research team is tackling one of the most exciting, open problems in AI: training LLMs to run long-horizon scientific discovery tasks. Our approach spans the full post-training stack - from SFT to asynchronous RL on agentic harnesses - teaching models to plan, use tools, and learn from experience in domains where the ground truth isn't a preference label, but a scientific result.

We're rapidly growing our Research Engineering org and seeking talented engineers and ML practitioners across levels to design, build, and optimize systems to push this frontier: scaling post-training, sharpening reasoning, and unlocking compute-intensive agentic-harness training. This is a rare chance to join an early team with the autonomy, flexibility, and compute to tackle frontier science problems.

We operate with high agency, and a bias toward execution. Below are several focus areas within the team. We ask that candidates select the stream that best matches their experience and excitement.

Work Streams

Stream A: GPU Optimization & Training Performance

Maximize hardware utilization across 100B+ parameter asynchronous RL training runs. Responsibilities include profiling, performance optimization, custom kernel development, communication-computation overlap, and long-context throughput improvements. You set and maintain the performance baseline.

Stream B: Stack & Infrastructure

Own the post-training infrastructure end-to-end - supervised fine-tuning, asynchronous RL with tool integration, and data pipelines. Build modular, reproducible workflows with single-command execution. Manage upstream framework upgrades and deliver composable pipelines spanning Data, SFT, and RL stages. You work tightly with Research Scientists to develop and productionize novel algorithms to run at scale.

Stream C: Model Experimentation

Bring deep, hands-on experience training large language models. Lead experimentation on reasoning model development, including mixture-of-experts stabilization, curriculum design, and synthetic reasoning trace generation. You have a bias toward experimental design and tracking, and know how to prioritize runs that yield promising outcomes.

Stream D: Evaluations & Benchmarks

Design and build best-in-class scientific agentic benchmarks and harnesses, along with the dashboards and leaderboards that inform every training decision. You have experience working with well known public benchmarks and have spent time building bespoke agentic benchmarks and harnesses.

Stream E: Agentic Capabilities & Frontier Research

Train models capable of planning, exploration, and tool use over extended horizons. Advance the state of the art in RL at scale with tool-calling, subgoal decomposition, and shared memory/skills across trials to expand the frontier of scientific agent capabilities.

What You'll Need to Succeed

  • Strong software engineering skills in Python; C++/CUDA a plus
  • Experience with distributed ML training frameworks (Megatron-LM, TorchTitan, DeepSpeed, Ray)
  • Understanding of large-scale model training techniques for 100B+ models
  • Experience with cloud or HPC environment
  • Ability to communicate technical results to internal and external stakeholders

Bonus Points For

  • Prior work with large scale scientific datasets or domain-specific modeling
  • Contributions to open-source ML frameworks
  • Experience with RL post-training (RLHF, GRPO, tool-augmented RL)
  • Experience training MoE architectures

Location

San Francisco, CA or Cambridge, MA (Remote, Hybrid, and On-Site available depending on team needs).

Apply