Apogee Logo

Apogee

Systems Engineer

Posted 10 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in CA, USA
Expert/Leader
Remote
Hiring Remotely in CA, USA
Expert/Leader
Systems Engineer supporting SOF AT&L’s Directorate of Science & Technology. Plans and documents engineering surveillance across design, development, and production; reviews engineering changes, waivers, deviations, and nonconforming materials; provides expert technical analysis and leadership briefings; evaluates performance trends; recommends corrective actions; and improves engineering and acquisition processes.
The summary above was generated by AI
Overview

Apogee has an exciting new opportunity for a Systems Engineer in support of the Special Operations Forces Acquisition, Technology and Logistics (SOF AT&L) Directorate of Science & Technology.


DIR-S&T discovers, evaluates, and accelerates emerging technologies to preserve SOF’s operational advantage by linking operators with government labs, academia, industry, and international partners. Through rapid assessment events, technical experimentation, and streamlined collaboration mechanisms, DIR‑S&T reduces duplication, leverages external R&D, and matures high-potential solutions across priority capability areas such as warfighter performance, battlespace awareness, resilient communications and computing, scalable effects, and signature reduction. The directorate also drives the transition of prototypes and software into acquisition pathways, strengthening innovation pipelines and expanding SOF’s access to non-traditional partners and small business technology.


This is a full-time opportunity located in Coronado, CA. 


Responsibilities
  • Plans, executes, and documents surveillance of design, development, and production efforts on behalf of government counterparts, using performance indicators identified in applicable engineering surveillance processes.
  • Provides significant, expert-level support to government counterparts regarding the adequacy and clarity of agency engineering and analysis processes based on daily application of the processes and agency reporting requirements.
  • Completes advanced engineering demand tasks such as reviewing engineering change proposals, requests for waivers and deviations, and nonconforming materials.
  • Provides expert-level inputs for status briefings to leadership, outlining assigned programs, projects, problems, and recommended resolution.
  • Analyzes trends in performance indicators to assist government counterparts with managing Agency-level performance indicators, recommending corrective action, establishing lessons learned, and influencing the improvement of processes.

Qualifications

Minimum Experience:

Citizenship: Must be a US citizen Clearance: Must possess and maintain a TS w/SCI eligibilityCertifications: DAWIA Practitioner Equivalency IAW the PWS (DAWIA level II equivalent), and in Test and Evaluation or Engineering (systems, computer, or electrical) or equivalent fields. DAWIA Level III desired.Education: Bachelor's degree in computer, electrical, mechanical, or systems engineering, Years of Experience: Minimum of 10 years of relevant engineering experience to include:

  • Experience in evaluating technologies for incorporation into identified Program Office portfolios, developing/managing technical contracts, and identifying/coordinating technical issues and policy across various technical capability areas
  • Working knowledge of the Defense Acquisition Framework process.
  • Knowledge of technical, price, and cost analysis sufficient to review proposals, actual and estimated expenditures to determine reasonableness or to determine a negotiation position.
  • Knowledge of methods and techniques of fact-finding, analysis, and resolution of complex contracting problems, and the ability to develop concrete action plans to solve problems.

Additional InformationLocation: Coronado, CAOn-site/Hybrid/Remote: On-SiteTravel: 10%

Similar Jobs

2 Days Ago
Remote
USA
150K-220K Annually
Senior level
150K-220K Annually
Senior level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Lead end-to-end LLM inference performance across serving systems, models, GPU hardware, and workloads. Define rigorous benchmarks, diagnose bottlenecks from scheduling through kernels and interconnects, optimize single- and multi-node deployments, and deliver production-ready runtimes and configurations. Collaborate with product and infrastructure teams, evaluate inference technologies, and implement runtime fixes. The role requires strong Python engineering, production experience with serving engines such as vLLM or SGLang, GPU profiling, and knowledge of modern inference optimization techniques.
Top Skills: CudaDistributed ServingGpu ProfilingGpu SystemsHigh-Speed NetworkingPythonQuantizationSglangSpeculative DecodingTritonVllm
5 Days Ago
In-Office or Remote
San Francisco, CA, USA
171K-269K Annually
Senior level
171K-269K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Design and optimize large-scale machine learning model-serving systems, including distributed infrastructure, load balancing, auto-scaling, batching, caching, and inference optimization. Build highly reliable, high-concurrency services serving billions of requests, improve latency and throughput, benchmark inference engines, and develop CI/CD infrastructure for model deployments. Partner with ML engineers to fine-tune and deploy open-source large language models.
Top Skills: Auto-ScalingBatch SchedulingCC++Ci/CdDistributed SystemsGpu KernelsKv CacheLoad BalancingQuantizationRustSglangSpeculative DecodingTensorrt-LlmTritonVllm
6 Days Ago
Remote
California, USA
199K-412K Annually
Senior level
199K-412K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Consulting
Leads pre-sales engineering for strategic enterprise accounts across Northern California. Partners with account managers to design and position networking solutions, deliver technical presentations, demonstrations, workshops, and proofs of concept, and develop proposals and architectures. Acts as a technical advisor throughout the sales cycle, supports demand generation, manages customer and partner relationships, tracks competitive networking trends, and helps opportunities progress through deployment and adoption.
Top Skills: Aruba ClearpassBgpCampus NetworkingCisco IseCloud TechnologiesCloud-Managed Networking PlatformsEnterprise Wireless LanIp AddressingLayer 2 SwitchingLayer 3 RoutingNetwork Access ControlNetwork Automation FrameworksOspfPythonSubnettingTcp/Ip

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account